Relevant bibliographies by topics / Artificial Intelligence-Enhanced ERP Systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial Intelligence-Enhanced ERP Systems'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Artificial Intelligence-Enhanced ERP Systems.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Artificial Intelligence-Enhanced ERP Systems"

1

Settibathini, Venkata Surendra Kumar. "Future of ERP: AI-Driven Transformation for Business Success." International Journal of Professional Studies 19, no. 1 (2025): 212–25. https://doi.org/10.37648/ijps.v19i01.017.

Full text
Abstract:
Integration of artificial intelligence (AI) into Enterprise Resource Planning (ERP) systems is fundamentally changing corporate operations and competitiveness. Historically used to unify corporate operations like finance, supply chain, and human resources, ERP systems are now on the brink of becoming intelligent, flexible platforms able to react rapidly to evolving corporate needs. Apart from improving present operations, artificial intelligence (AI) technologies include robotic process automation, machine learning, and natural language processing are also projecting trends, avoiding disruptions, and customising user experiences. Artificial intelligence (AI) helps ERP systems go from reactive data processors to proactive decision-makers by spotting inefficiencies, demand prediction, and real-time market reaction facilitation. AI-driven ERP systems also enable hyper automation, the simplification of repetitive operations, hence releasing human resources for strategic projects. Edge computing, voice-activated commands, and self-healing software redefining user interfaces and system responsiveness. This change offers previously unheard-of operational agility, higher customer satisfaction, and better decision-making among other advantages. It also offers challenges such data quality management, cybersecurity risks, and the need for qualified workers. As businesses go over this paradigm change, strategic integration of artificial intelligence into ERP systems will be crucial for their security of competitive advantages and future-proof operations. This study investigates the development, benefits, challenges, and strategic orientations of AI-driven ERP systems in an environment going more and more digital, so establishing them as indispensable tools for long-term company success. ERP, or systems for resource planning, have long been indispensable for the seamless running of businesses in many different fields. Artificial intelligence (AI) is causing notable changes in ERP systems. This paper investigates how artificial intelligence affects ERP systems, corporate processes, decision-making, and success. By means of thorough investigation, we examine the main artificial intelligence technologies influencing ERP, successful implementation case studies, benefits and drawbacks, and developing trends influencing the upcoming wave of intelligent ERP systems.
APA, Harvard, Vancouver, ISO, and other styles
2

Bekmirzaev, Obidjon, Kumushbibi Gulomova, and Sanjar Mukhamadiev. "Research on New Trends and Development Prospects of Enterprise Resource Planning (ERP) Systems." European International Journal of Multidisciplinary Research and Management Studies 5, no. 3 (2025): 50–54. https://doi.org/10.55640/eijmrms-05-03-12.

Full text
Abstract:
This article analyzes modern trends and development prospects of ERP systems. The importance of ERP systems in automating business processes and increasing efficiency is highlighted, and their integration with cloud technologies, artificial intelligence, IoT and mobile applications is discussed. Also, the development prospects of ERP systems are considered as artificial intelligence-based automation, increased cybersecurity measures, flexibility and the creation of user-friendly interfaces. Continuous improvement of ERP systems serves to increase business efficiency and ensure competitiveness.
APA, Harvard, Vancouver, ISO, and other styles
3

Antonova, I. I., V. A. Smirnov, and M. G. Efimov. "Integrating artificial intelligence into ERP systems: advantages, disadvantages and prospects." Russian Journal of Economics and Law 18, no. 3 (2024): 619–40. http://dx.doi.org/10.21202/2782-2923.2024.3.619-640.

Full text
Abstract:
Objective: to identify the key benefits and potential risks associated with the use of artificial intelligence in ERP systems to improve decision-making processes, management efficiency and operational performance of various sectors, including commercial and non-profit organizations. Methods: systematic literature review, empirical data analysis, analytical and experimental research methods. Results: the key directions of artificial intelligence implementation in ERP-systems are reflected, providing improvement of operational efficiency, customer relations, as well as optimization of business processes, data management, supply chain and personnel management, automation of operations related to finance, optimization of customer relations; implementation of artificial intelligence in ERP-systems reduces inventory management costs, improves the accuracy of forecasting andinventory optimization, accelerates financial analysis and increases the accuracy of budgeting, resulting in reduced budget planning time; it also increases productivity by optimizing necessary production processes and reducing equipment downtime. However, there are also risks of confidential data leakage, unauthorized access to data; job losses due to automation of tasks; and vulnerability to cyberattacks. Scientific novelty: the little-studied directions of artificial intelligence integration in ERP-systems are analyzed; an integrative approach to the application of artificial intelligence in ERP-systems is proposed, which combines methods of machine learning, natural language processing and predictive analytics and provides a comprehensive assessment of the complex impact on the business processes’ efficiency. Practical significance: the formulated directions for solving the identified problems of artificial intelligence integration in ERP-systems can be implemented in practice, as they will enable to better take into account local requirements and laws.
APA, Harvard, Vancouver, ISO, and other styles
4

Vinay, Singh. "AI and ERP Integration for Adaptive Dynamic Costing Based on Consumer Demand Fluctuations in Manufacturing." European Journal of Advances in Engineering and Technology 12, no. 3 (2025): 1–7. https://doi.org/10.5281/zenodo.15165976.

Full text
Abstract:
This research aims to automate product costing based on consumer demand fluctuation using artificial intelligence (AI) integration with the Oracle ERP system. From raw material procurement and factory scheduling to real-time product cost estimates and financial forecasts, AI can simplify and improve many activities as manufacturing processes get more complicated. Automating product costing based on consumer demand allows artificial intelligence to help producers reach higher accuracy, efficiency, and cost optimization, thus enhancing organizations profitability. The paper examines how artificial intelligence changes real-time data analysis, predictive analytics, machine learning, and conventional product costing techniques. Furthermore, the advantages of AI-driven solutions are underlined—cost control, quicker decision-making, enhanced forecasts, and best use of resources. Future developments of artificial intelligence and ERP integration—including autonomous production systems, dynamic pricing models, and improved sustainability practices—predicted to change the manufacturing landscape significantly—are also covered in the paper. Using case studies from top companies such as Siemens, Coca-Cola, and Nestle, the paper illustrates artificial intelligence's practical use and quantifiable advantages in manufacturing. The study concludes that manufacturers who provide a clear road toward operational excellence and long-term profitability depend on the junction of artificial intelligence and ERP.
APA, Harvard, Vancouver, ISO, and other styles
5

Researcher. "ARTIFICIAL INTELLIGENCE IN ENTERPRISE RESOURCE PLANNING: A SYSTEMATIC REVIEW OF INNOVATIONS, APPLICATIONS, AND FUTURE DIRECTIONS." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1276–89. https://doi.org/10.5281/zenodo.14170247.

Full text
Abstract:
The revolutionary significance of artificial intelligence (AI) in contemporary enterprise resource planning (ERP) systems is examined in this article systematic review, which synthesizes recent findings and advancements from a variety of fields. The article highlights thirteen major areas where artificial intelligence (AI) is transforming ERP functionality through an examination of recent technological developments. These include cognitive computing for decision support, natural language processing for improved user interfaces, and machine learning-driven predictive analytics. With a focus on cutting-edge technologies like edge computing, blockchain integration, and quantum computing applications, the essay covers both theoretical frameworks and real-world applications. With average processing time savings of 35–45% and decision accuracy increases of up to 60% across a range of business activities, the results show that AI-enhanced ERP systems exhibit notable benefits in operational efficiency. System integration, data quality management, and regulatory compliance still face difficulties, nevertheless. The paper also identifies important research needs in industry-specific AI applications and cross-platform standards. In addition to describing future research paths centered on scalability, security, and enterprise-wide integration techniques, this thorough article analysis offers insightful information for scholars, practitioners, and businesses looking to utilize AI capabilities in ERP systems. In order to further theoretical knowledge and real-world application in the sector, the essay ends by suggesting a methodology for assessing and integrating AI advancements in ERP systems.
APA, Harvard, Vancouver, ISO, and other styles
6

Vidushi, Sharma. "The Role of Robotic Process Automation (RPA) and Artificial Intelligence (AI) in Scaling Enterprise Resource Planning (ERP) Systems." International Journal of Leading Research Publication 4, no. 6 (2023): 1–6. https://doi.org/10.5281/zenodo.14769567.

Full text
Abstract:
Enterprise Resource Planning (ERP) systems have long been the backbone of organizational efficiency, integrating key business functions such as finance, HR, and supply chain management. However, the complexity and scale of modern enterprises demand greater agility, automation, and intelligent decision-making capabilities. This research explores the role of Robotic Process Automation (RPA) and Artificial Intelligence (AI) in scaling ERP systems. The study investigates how RPA streamlines repetitive, rule-based processes, while AI enhances ERP systems with predictive analytics and decision support. A mixed-methods approach, combining qualitative case studies with quantitative analysis of ERP performance metrics, was used to assess the impact of RPA and AI on ERP scalability. The findings indicate that the integration of RPA and AI significantly improves operational efficiency, reduces human error, and enables better decision-making in large-scale ERP environments. Moreover, organizations that adopted these technologies experienced enhanced scalability, making it easier to adapt to business growth. The study concludes that RPA and AI are key enablers of ERP systems, providing the necessary capabilities for enterprises to scale effectively in the digital era. This research contributes to the growing body of knowledge by highlighting practical applications and providing a roadmap for future ERP enhancements.
APA, Harvard, Vancouver, ISO, and other styles
7

Ravi Sankar Korapati. "Leveraging AI-Driven Predictive Analytics in Modern ERP Systems." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1639–51. https://doi.org/10.32628/cseit251112193.

Full text
Abstract:
This comprehensive article explores the transformative impact of AI-driven predictive analytics in modern Enterprise Resource Planning (ERP) systems. The article examines how the integration of artificial intelligence and machine learning capabilities has revolutionized organizational decision-making processes, operational efficiency, and strategic planning. The article investigates key application areas including financial forecasting, inventory optimization, and customer behavior analysis, while also addressing technical implementation considerations and system architecture requirements. The article demonstrates how AI-enhanced ERP systems have enabled organizations to achieve significant improvements in operational performance, risk management, and market competitiveness through advanced data processing and predictive modeling capabilities.
APA, Harvard, Vancouver, ISO, and other styles
8

Nathany, Deepika. "Connected ERP: Integrating Enterprise Systems for Enhanced Business Performance." Journal of Research in Business and Management 7, no. 2 (2019): 73–79. https://doi.org/10.35629/3002-07027379.

Full text
Abstract:
Modern business operations rely heavily on Enterprise Resource Planning (ERP) systems because these systems deliver a centralized platform to oversee different organizational procedures. The evolution of businesses along with their expanding complexities requires more advanced and networked ERP systems now more than ever. This study examines "Connected ERP" as the future stage of enterprise systems integration. Connected ERP surpasses conventional ERP systems by establishing seamless connections between various business systems, departments, and external partners to develop an agile and responsive business environment. This research examines both advantages and obstacles of Connected ERP systems and outlines methods for their implementation. A thorough examination of existing literature and industry case studies reveals how Connected ERP systems boost data precision and decision-making while enhancing operational effectiveness in various organizations. The study examines how cloud computing along with artificial intelligence and the Internet of Things (IoT) serve as technological foundations for Connected ERP systems. Our findings demonstrate that Connected ERP systems surpass traditional ERP implementations by providing real-time data synchronization along with improved collaboration capabilities and better supply chain visibility. The research paper recognizes several potential obstacles to adoption including concerns about data security and complexities related to system integration alongside organizational resistance to change. The research finalizes with a framework proposal for successful Connected ERP deployment which highlights strategic planning alongside change management and continuous improvement as essential components. The research enhances our understanding of enterprise systems integration while offering practical advice to companies evaluating Connected ERP solutions.
APA, Harvard, Vancouver, ISO, and other styles
9

Nasirzada, Nigar. "ERP System Integration to Optimize Financial Reporting in Real Estate Management." Universal Library of Business and Economics 02, no. 01 (2025): 22–26. https://doi.org/10.70315/uloap.ulbec.2025.0201004.

Full text
Abstract:
This article explores the integration of Enterprise Resource Planning (ERP) systems for optimizing financial reporting within the real estate sector. Drawing on case studies from established vendors (e.g., SAP, Oracle, MRI Software) and incorporating recent advances in AI, Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI), the study highlights the critical role of financial modules in ensuring transparency, mitigating regulatory risks, and promoting strategic decision-making. A comparative classification of ERP implementations underscores the importance of scalability and real estate-specific functionalities, while the integration of AI-driven tools demonstrates the potential for predictive maintenance, fraud detection, and enhanced cost-effectiveness. The findings suggest that an ethically and technologically sound ERP framework, coupled with robust governance models for AI, can deliver sustainable competitive advantages and inform the next generation of data-driven real estate management practices.
APA, Harvard, Vancouver, ISO, and other styles
10

Keresztesi, Albert Attila, and Moreno-Doru Reş. "Elements of Artificial Intelligence in Integrated Information Systems." Acta Marisiensis. Seria Oeconomica 16, no. 1 (2022): 81–90. http://dx.doi.org/10.2478/amso-2022-0008.

Full text
Abstract:
Abstract The importance of the chosen theme is given by the lack of implementation of these technologies on the Romanian market, respectively to companies in the SME category, because this niche at the moment is one in full development and expansion. In the first part, entitled ‘Artificial intelligence – definitions, classifications’, the theoretical aspects of artificial intelligence systems in general, the direction of development in general, are presented, the types and categories of artificial intelligence and not least the facilities and effects of the use of artificial intelligence in general and in the fields of medicine, energy, production, education, finance and the transport industry respectively. In the second part entitled “Current trends in the development of integrated ERP systems” it analyzes the procedures for the integration of artificial intelligence elements as well as market analysis through the analysis of ERP solutions equipped with existing AI, the modules of the IT solutions that have been improved with artificial intelligence and other key elements with an impact on the implementations.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Artificial Intelligence-Enhanced ERP Systems"

1

Bergdahl, Jacob. "The AI Revolution : A study on the present and future application and value of AI in the context of ERP systems." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354043.

Full text
Abstract:
Business leaders around the world are expressing equal amounts of excitement and urgency for implementing artificial intelligence (AI) technologies. Yet the upcoming AI revolution is clouded with uncertainties and misconceptions. In this thesis, the business value and application potential of AI were studied in a context of enterprise resource planning (ERP) systems through a case study at a consultancy firm with small- to midsize clients. Three research questions were posed and answered: how can, or do, organizational processes covered by ERP systems benefit from AI, what AI features do customers typically request when ordering ERP systems, and is AI adopted with the purpose of reducing costs or increasing revenue? Using a framework for data analysis, multiple organizational processes covered by ERP systems were explored through interviews with ERP experts. The results indicated that small- and midsize companies were still primarily requesting and working to implement basic, incremental AI with the purpose of reducing costs through automations. Future leaders may instead need to implement AI that fundamentally reinvents their business processes, with the purpose of increasing revenue through augmentations. Overall, while some organizational processes have already been improved with AI solutions, many processes have yet to be AI-powered in the ERP solutions sold by the consultancy firm examined in this study. However, the consultants of the firm express great positivity for the untapped potential of AI, and many further AI solutions are being developed.<br>Affärsledare världen runt upplever såväl entusiasm som brådska för att implementera artificiell intelligens (AI). Men den kommande AI-revolutionen är fylld av osäkerheter och miss-uppfattningar. I denna uppsats undersöktes det affärsvärde och den användningspotential som AI har i en kontext av affärssystem (enterprise resource planning system, ERP) genom en fallstudie på en konsultfirma med små- och mellanstora kunder. Tre forskningsfrågor ställdes och besvarades: hur kan organisatoriska processer som täcks av affärssystem komma att gynnas av AI, eller hur gynnas de redan, vilken typ av AI efterfrågar kunder när de beställer affärssystem, och införskaffas AI i syftet att minska kostnader eller öka intäkter? Med hjälp av ett ramverk för dataanalys utforskandes ett flertal organisatoriska processer som täcks av affärssystem genom intervjuer med affärssystemsexperter. Resultatet tyder på att små- och mellanstora företag fortfarande primärt efterfrågar och jobbar med enkla, inkrementella AI-utvecklingar, med syftet att minska kostnader genom automatiseringar. Framtida ledare kan istället komma att vilja implementera AI som fundamentalt återuppfinner organisationens affärsprocesser, med syftet att öka inkomsterna genom att göra personalen kraftfullare. På det stora hela har enbart än så länge endast ett mindre antal organisatoriska processer blivit förbättrade med AI-lösningar i de affärssystem som säljs av konsultfirman som undersöktes i denna studie. Företagets konsulter uttrycker dock starkt positivitet för den outnyttjade potentialen som kan hittas i AI, och fler AI-lösningar för affärssystemen håller på att utvecklas.
APA, Harvard, Vancouver, ISO, and other styles
2

Serednia, A. G. "«OneBox» by WebProduction as a System of Business Automation." Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/8385.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Calle, Ortiz Eduardo R. "Robot-Enhanced ABA Therapy: Exploring Emerging Artificial Intelligence Embedded Systems in Socially Assistive Robots for the Treatment of Autism." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1349.

Full text
Abstract:
In the last decade, socially assistive robots have been used in therapeutic treatments for individuals diagnosed with Autism Spectrum Disorders (ASDs). Preliminary studies have demonstrated positive results using the Penguin for Autism Behavioral Intervention (PABI) developed by the AIM Lab at WPI to assist individuals diagnosed with ASDs in Applied Behavioral Analysis (ABA) therapy treatments. In recent years, power-efficient embedded AI computing devices have emerged as a powerful technology by reducing the complexity of the hardware platforms while providing support for parallel models of computation. This new hardware architecture seems to be an important step in the improvement of socially assistive robots in ABA therapy. In this thesis, we explore the use of a power-efficient embedded AI computing device and pre-trained deep learning models to improve PABI’s performance. Five main contributions are made in this work. First, a robot-enhanced ABA therapy framework is designed. Second, a multilayer pattern software architecture for a robot-enhanced ABA therapy framework is explored. Third, a multifactorial experiment is completed in order to benchmark the performance of three popular deep learning frameworks over the AI computing device. Experimental results demonstrate that some deep learning frameworks utilize the resources of GPU power while others utilize the multicore ARM-CPU system of the device for its parallel model of computation. Fourth, the robustness of state-of-the-art pre-trained deep learning models for feature extraction is analyzed and contrasted with the previous approach used by PABI. Experimental results indicate that pre-trained deep learning models overcome the traditional approaches in some fields; however, combining different pre-trained models in a process reduces its accuracy. Fifth, a patient-tracking algorithm based on an identity verification approach is developed to improve the autonomy, usability, and interactions of patients with the robot. Experimental results show that the developed algorithm has the potential to perform as well as the previous algorithm used by PABI based on a deep learning classifier approach.
APA, Harvard, Vancouver, ISO, and other styles
4

Ramos, Geraldo André Raposo. "Neuro-fuzzy based screening for EOR projects and experimental investigation of identified techniques in oilfield operations." Thesis, University of Aberdeen, 2018. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=238793.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mravec, Roman. "Návrh mezioperační dopravy ve výrobním podniku podle principů Průmyslu 4.0." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-449286.

Full text
Abstract:
Based on the description and definition of technology and processes falling within the vision of the fourth industrial revolution with the aim of creating intelligent factories, this diploma thesis deals with the principles of the Industry 4.0 concept in Hilti's production plant with a focus on transport and supply of production equipment. The aim of the work is to create a comprehensive proposal that takes into account all the necessary aspects associated with upgrading the existing state of inter-operational transport in a particular production line to fully automated, flexible and autonomous transport of materials and products in the context of Industry 4.0. A prerequisite for creating a design is the connection of automatically guided vehicles (AGVs) serving individual transport orders. The selection of the vehicle was made taking into account the safety of movement, the method of charging, the system and network integrity of existing and proposed technologies and components. The intention is not only to automate the inter-operational service, but also on the basis of the created automation concept, the ability to autonomously procure the flow of material and products. The mathematical calculation of capacity planning in the production line helped to determine the total load and the number of vehicles needed for continuous procurement of transport requirements. The result of the design part is also the design of specific transport routes and transport conditions that AGV vehicles must comply with in order to maintain a high level of safety. Transparency and a constant overview of transported products is provided by the presented scheme for identification of production batches, Auto-ID system. The financial efficiency of the whole project elaborated in the diploma thesis is evaluated as payable after 4 years from the implementation of the proposal. The financial efficiency of the whole project elaborated in the diploma thesis is evaluated as payable after 4 years from the implementation of the proposal due to high labor costs.
APA, Harvard, Vancouver, ISO, and other styles
6

Silvestre, Cerdà Joan Albert. "Different Contributions to Cost-Effective Transcription and Translation of Video Lectures." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/62194.

Full text
Abstract:
[EN] In recent years, on-line multimedia repositories have experiencied a strong growth that have made them consolidated as essential knowledge assets, especially in the area of education, where large repositories of video lectures have been built in order to complement or even replace traditional teaching methods. However, most of these video lectures are neither transcribed nor translated due to a lack of cost-effective solutions to do so in a way that gives accurate enough results. Solutions of this kind are clearly necessary in order to make these lectures accessible to speakers of different languages and to people with hearing disabilities. They would also facilitate lecture searchability and analysis functions, such as classification, recommendation or plagiarism detection, as well as the development of advanced educational functionalities like content summarisation to assist student note-taking. For this reason, the main aim of this thesis is to develop a cost-effective solution capable of transcribing and translating video lectures to a reasonable degree of accuracy. More specifically, we address the integration of state-of-the-art techniques in Automatic Speech Recognition and Machine Translation into large video lecture repositories to generate high-quality multilingual video subtitles without human intervention and at a reduced computational cost. Also, we explore the potential benefits of the exploitation of the information that we know a priori about these repositories, that is, lecture-specific knowledge such as speaker, topic or slides, to create specialised, in-domain transcription and translation systems by means of massive adaptation techniques. The proposed solutions have been tested in real-life scenarios by carrying out several objective and subjective evaluations, obtaining very positive results. The main outcome derived from this thesis, The transLectures-UPV Platform, has been publicly released as an open-source software, and, at the time of writing, it is serving automatic transcriptions and translations for several thousands of video lectures in many Spanish and European universities and institutions.<br>[ES] Durante estos últimos años, los repositorios multimedia on-line han experimentado un gran crecimiento que les ha hecho establecerse como fuentes fundamentales de conocimiento, especialmente en el área de la educación, donde se han creado grandes repositorios de vídeo charlas educativas para complementar e incluso reemplazar los métodos de enseñanza tradicionales. No obstante, la mayoría de estas charlas no están transcritas ni traducidas debido a la ausencia de soluciones de bajo coste que sean capaces de hacerlo garantizando una calidad mínima aceptable. Soluciones de este tipo son claramente necesarias para hacer que las vídeo charlas sean más accesibles para hablantes de otras lenguas o para personas con discapacidades auditivas. Además, dichas soluciones podrían facilitar la aplicación de funciones de búsqueda y de análisis tales como clasificación, recomendación o detección de plagios, así como el desarrollo de funcionalidades educativas avanzadas, como por ejemplo la generación de resúmenes automáticos de contenidos para ayudar al estudiante a tomar apuntes. Por este motivo, el principal objetivo de esta tesis es desarrollar una solución de bajo coste capaz de transcribir y traducir vídeo charlas con un nivel de calidad razonable. Más específicamente, abordamos la integración de técnicas estado del arte de Reconocimiento del Habla Automático y Traducción Automática en grandes repositorios de vídeo charlas educativas para la generación de subtítulos multilingües de alta calidad sin requerir intervención humana y con un reducido coste computacional. Además, también exploramos los beneficios potenciales que conllevaría la explotación de la información de la que disponemos a priori sobre estos repositorios, es decir, conocimientos específicos sobre las charlas tales como el locutor, la temática o las transparencias, para crear sistemas de transcripción y traducción especializados mediante técnicas de adaptación masiva. Las soluciones propuestas en esta tesis han sido testeadas en escenarios reales llevando a cabo nombrosas evaluaciones objetivas y subjetivas, obteniendo muy buenos resultados. El principal legado de esta tesis, The transLectures-UPV Platform, ha sido liberado públicamente como software de código abierto, y, en el momento de escribir estas líneas, está sirviendo transcripciones y traducciones automáticas para diversos miles de vídeo charlas educativas en nombrosas universidades e instituciones Españolas y Europeas.<br>[CAT] Durant aquests darrers anys, els repositoris multimèdia on-line han experimentat un gran creixement que els ha fet consolidar-se com a fonts fonamentals de coneixement, especialment a l'àrea de l'educació, on s'han creat grans repositoris de vídeo xarrades educatives per tal de complementar o inclús reemplaçar els mètodes d'ensenyament tradicionals. No obstant això, la majoria d'aquestes xarrades no estan transcrites ni traduïdes degut a l'absència de solucions de baix cost capaces de fer-ho garantint una qualitat mínima acceptable. Solucions d'aquest tipus són clarament necessàries per a fer que les vídeo xarres siguen més accessibles per a parlants d'altres llengües o per a persones amb discapacitats auditives. A més, aquestes solucions podrien facilitar l'aplicació de funcions de cerca i d'anàlisi tals com classificació, recomanació o detecció de plagis, així com el desenvolupament de funcionalitats educatives avançades, com per exemple la generació de resums automàtics de continguts per ajudar a l'estudiant a prendre anotacions. Per aquest motiu, el principal objectiu d'aquesta tesi és desenvolupar una solució de baix cost capaç de transcriure i traduir vídeo xarrades amb un nivell de qualitat raonable. Més específicament, abordem la integració de tècniques estat de l'art de Reconeixement de la Parla Automàtic i Traducció Automàtica en grans repositoris de vídeo xarrades educatives per a la generació de subtítols multilingües d'alta qualitat sense requerir intervenció humana i amb un reduït cost computacional. A més, també explorem els beneficis potencials que comportaria l'explotació de la informació de la que disposem a priori sobre aquests repositoris, és a dir, coneixements específics sobre les xarrades tals com el locutor, la temàtica o les transparències, per a crear sistemes de transcripció i traducció especialitzats mitjançant tècniques d'adaptació massiva. Les solucions proposades en aquesta tesi han estat testejades en escenaris reals duent a terme nombroses avaluacions objectives i subjectives, obtenint molt bons resultats. El principal llegat d'aquesta tesi, The transLectures-UPV Platform, ha sigut alliberat públicament com a programari de codi obert, i, en el moment d'escriure aquestes línies, està servint transcripcions i traduccions automàtiques per a diversos milers de vídeo xarrades educatives en nombroses universitats i institucions Espanyoles i Europees.<br>Silvestre Cerdà, JA. (2016). Different Contributions to Cost-Effective Transcription and Translation of Video Lectures [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/62194<br>TESIS
APA, Harvard, Vancouver, ISO, and other styles
7

Anelli, Vito Walter. "Knowledge-Enabled Recommender Systems in the Linked Data Era." Doctoral thesis, 2020. http://hdl.handle.net/11589/191260.

Full text
Abstract:
I sistemi di raccomandazione sono in generale scarsamente conosciuti. Tuttavia, sono praticamente onnipresenti. Sono loro che, in un mondo che ci sommerge di informazione rilevante ed irrilevante, fanno la differenza. Processano cataloghi di migliaia, o milioni, di elementi per restituirci l'informazione personalizzata e rilevante che cerchiamo. Senza di loro, saremmo come naufraghi in un oceano di informazioni che tentano di berlo tutto, sorso dopo sorso. D'altro canto, sussurrano continuamente all'orecchio di leggere notizie, guardare film, ascoltare canzoni. Che siano dei grilli parlanti o dei lucignolo, alla fine è nostra responsabilità definirlo. Allo stesso tempo, il web si sta evolvendo, fornendoci una informazione ricca e semantica. Il cosiddetto Semantic Web, infatti, ci consente di alimentare i sistemi di raccomandazione con conoscenza di elevata qualità. Questa conoscenza consente ai sistemi di raccomandazione di comprendere il dominio, fornire spiegazioni, migliorare la qualità delle raccomandazioni. In questo percorso di ricerca, abbiamo affrontato i diversi aspetti della raccomandazione ed i diversi modi in cui la conoscenza semantica può risultare utile. Ci siamo inizialmente focalizzati sulla fattorizzazione di matrici, una tecnica di raccomandazione, ed abbiamo proposto diversi metodi per inglobare conoscenza in essa. Fattorizzazione di feature, diffusione della rilevanza su grafo e Factorization Machine interpretabili sono solo alcuni esempi in tal senso. Abbiamo sviluppato un sistema di raccomandazione che sfrutta le prefenze condizionali pair-wise per abbassare la barriera tra l'umano e la macchina. Abbiamo affrontato il problema della conoscenza semi-strutturata, proponendo modelli che considerano la diversificazione delle raccomandazioni nel tempo, la popolarità personalizzata e la dissimilarità. Infine, ci siamo concentrati sulla valutazione dei sistemi di raccomandazione, proponendo nuove tecniche per impostare gli iperparametri di un modello ed abbiamo definito una nuova nozione di fairness. Ci auguriamo che vi godiate il viaggio.<br>Recommender Systems are unfamiliar to ordinary people. However, they are almost everywhere. In a world that overwhelms us with relevant and irrelevant information, they make the difference. They process catalogs from thousands to millions of items to return us only the relevant and personalized information. Otherwise, we would be as castaways in the ocean of information that try to drink it all. On the other side, they are constantly whispering in our ear, suggesting to enjoy news, movies, songs. If they are Jiminy or Lamp-Wick, it is our responsibility. At the same time, the Web is evolving, providing us rich and semantic information. The so-called Semantic Web lets us feed Recommender Systems with high-quality knowledge. This knowledge lets Recommender Systems understand the domain, provide explanations, improve the quality of recommendations. In this research journey, we have faced different aspects of the recommendation and the multiple ways semantic knowledge can be beneficial. We have first focused on Matrix Factorization, a recommendation technique, and we have proposed several ways to exploit knowledge. Feature Factorization, Graph Spreading Relevance, and interpretable Factorization Machines are a few examples. We have developed a recommender that takes into account conditional pair-wise preferences to lower the human-machine barrier. We have also faced the semi-structured knowledge, proposing models that consider temporal diversification, personalized popularity, and dissimilarity. Finally, we have focused on Recommender Systems evaluation, proposing new techniques for tuning hyperparameters, and a new notion of fairness. We hope you will enjoy the journey.
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Artificial Intelligence-Enhanced ERP Systems"

1

Pejaś, Jerzy, and Andrzej Piegat, eds. Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems. Springer US, 2005. http://dx.doi.org/10.1007/b101135.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Lam, Artde Donald Kin-Tak, Stephen D. Prior, Siu-Tsen Shen, Sheng-Joue Young, and Liang-Wen Ji. System Innovation for an Artificial Intelligence Era. CRC Press, 2024. http://dx.doi.org/10.1201/9781003514831.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

Full text
Abstract:
The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". &#x0D; The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. &#x0D; Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
APA, Harvard, Vancouver, ISO, and other styles
4

Musleh Al-Sartawi, Abdalmuttaleb M. A., Anjum Razzaque, and Muhammad Mustafa Kamal, eds. Artificial Intelligence Systems and the Internet of Things in the Digital Era. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77246-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

E, Dreyfus Stuart, and Athanasiou Tom, eds. Mind over machine: The power of human intuition and expertise in the era of the computer. B. Blackwell, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

E, Dreyfus Stuart, and Athanasiou Tom, eds. Mind over machine: The power of human intuition and expertise in the era of the computer. Free Press, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

ECP '97 (1997 Toulouse, France). Recent advances in AI planning: 4th European Conference, ECP '97, Toulouse, France, September 24-26, 1997 : proceedings. Springer, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Lytras, Miltiadis D. Technology Enhanced Learning. Quality of Teaching and Educational Reform: First International Conference, TECH-EDUCATION 2010, Athens, Greece, May 19-21, 2010. Proceedings. Springer-Verlag Berlin Heidelberg, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Stefanie, Lindstaedt, Kloos Carlos Delgado, Hernández-Leo Davinia, and SpringerLink (Online service), eds. 21st Century Learning for 21st Century Skills: 7th European Conference of Technology Enhanced Learning, EC-TEL 2012, Saarbrücken, Germany, September 18-21, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Jeffrey, Star, and United States. National Aeronautics and Space Administration., eds. Remote Sensing Information Sciences Research Group: Browse in the EOS era : final report. University of California, Santa Barbara, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Artificial Intelligence-Enhanced ERP Systems"

1

Goundar, Sanmugam, Karuna Reddy, and M. G. M. Khan. "A Logistic Regression Classification Model to Predict ERP Systems Adoption by SMEs in Fiji." In PRICAI 2023: Trends in Artificial Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7025-4_38.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

West, Shaun, Daryl Powell, and Ille Fabian. "Service Shop Performance Insights from ERP Data." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85902-2_18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Santos, Célia Rocha, Graça Azevedo, and Rui Pedro Marques. "A Guide to Identifying Artificial Intelligence in ERP Systems in Accounting Functions." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60328-0_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Rojek, Izabela, and Mieczysław Jagodziński. "Hybrid Artificial Intelligence System in Constraint Based Scheduling of Integrated Manufacturing ERP Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28931-6_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Hairech, Oumaima El, and Abdelouahid Lyhyaoui. "The New Generation of ERP in the Era of Artificial Intelligence and Industry 4.0." In Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90633-7_96.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Karthikeyan, K., J. Banupriya, Sandaboina Shivakumar, R. Maheswari, and E. Dhanasekar. "Leveraging Retail Business Outcomes: The Influence of Artificial Intelligence in ERP Systems on End Users." In Contributions to Finance and Accounting. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-67547-8_25.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hraiba, Aziz, Achraf Touil, and Ahmed Mousrij. "An Enhanced Moth-Flame Optimizer for Reliability Analysis." In Embedded Systems and Artificial Intelligence. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0947-6_71.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Weiss, Gereon, Jens Gansloser, Adrian Schwaiger, and Maximilian Schwaiger. "Assured Resilience in Autonomous Systems – Machine Learning Methods for Reliable Perception." In Unlocking Artificial Intelligence. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64832-8_9.

Full text
Abstract:
AbstractMachine learning in the form of deep neural networks provides a powerful tool for enhanced perception of autonomous systems. However, the results of such networks are still not reliable enough for safety-critical tasks, like autonomous driving. We provide an overview of common challenges when applying these methods and introduce our approach for making the perception more robust. It includes utilizing uncertainty quantification based on ensemble distribution distillation and an out-of-distribution approach for detecting unknown inputs. We evaluate the approaches for object detection tasks in different autonomous driving scenarios with varying environmental conditions. The results show that the additional methods can support making the perception task of object detection more robust and reliable for future usage in autonomous systems.
APA, Harvard, Vancouver, ISO, and other styles
9

Rincon, J. A., C. Marco-Detchart, and V. Julian. "Towards Enhanced Emotional Interaction in the Metaverse." In Artificial Intelligence for Neuroscience and Emotional Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61140-7_45.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chandurkar, Swati Shailesh, Paras Jain, Anuradha Thakare, and Hemant Baradkar. "Introducing an IoT-Enabled Multimodal Emotion Recognition System for Women Cancer Survivors." In Era of Artificial Intelligence. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003300472-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Artificial Intelligence-Enhanced ERP Systems"

1

Wijaya, Santo Fernandi, Jansen Wiratama, and Ririn Ikana Desanti. "Optimizing ERP Deployment with Intelligent Tutoring Systems." In 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2025. https://doi.org/10.1109/icaiic64266.2025.10920665.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zuñiga, Jeremy Chahuayllo, Jose Felix Arnao Perez, Enrique Sanchez Portugal, and Jose Cornejo. "Technical Review of ERP System Applications and Artificial Intelligence in the Textile Industry." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985328.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Rajawat, Anand Singh, S. B. Goyal, Usha Desai, Nisha S. Tatkar, and Krishna Kumar P. R. "Harnessing Artificial Intelligence for Enhanced Market Trend Forecasting." In 2024 International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA). IEEE, 2024. https://doi.org/10.1109/ariia63345.2024.11051568.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Huang, Bo-Sheng, Ted T. Kuo, Li-Jen Wang, and Chia-Yu Lin. "Remind: Recall Enhanced Memory Integration for Natural Language Dialogue Systems." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00125.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

J, Aathithya, Mohammed Basil Abdulkareem, Abdulnaser A. Hagar, Saliha Bathoo l, Dexter Woodward, and MaajidMohiUd Din Malik. "Artificial Intelligence-Enhanced Health Monitoring System via with Disease Prediction." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910883.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Samonte, Mary Jane C., Ma Lhealynn N. Daquioag-Vasquez, and Lex Anilov T. Ogaya. "Advancing Systems Integration and Administration: Harnessing Artificial Intelligence for Enhanced Security." In 2024 14th International Conference on Software Technology and Engineering (ICSTE). IEEE, 2024. https://doi.org/10.1109/icste63875.2024.00042.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Yiming. "An Interpersonal Communication Analysis Model for Privacy Protection Systems in the Era of Artificial Intelligence." In 2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS). IEEE, 2024. http://dx.doi.org/10.1109/aiars63200.2024.00128.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Köster, Felix, Kazutaka Kanno, and Atsushi Uchida. "Attention-Enhanced Reservoir Computing for Modeling Diverse Dynamical Systems." In 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2025. https://doi.org/10.1109/icaiic64266.2025.10920804.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Rani, Seema, Naresh Kumar, Aviral Srivastva, and Aayush Sharma. "Leveraging Artificial Intelligence and Machine Learning for Enhanced Privacy and Security." In 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS). IEEE, 2024. https://doi.org/10.1109/icbds61829.2024.10837569.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Bishukarma, Ramesh, Sumeet Mathur, and Sandeep Gupta. "Artificial Intelligence (AI)-Enhanced Security Monitoring and Threat Detection in Cloud Infrastructures." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934265.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Artificial Intelligence-Enhanced ERP Systems"

1

Rihm, Alfredo, Carolina Piamonte, Eduardo Antonio Restrepo Lagos, Magda Correal, and Paula Gabriela Guerra Morán. Digital Transformation of Solid Waste Management: Waste Collection Innovation, Business Intelligence, and Digital Technologies to Transition Waste Management Towards Circularity in Latin America and the Caribbean. Edited by Claudia M. Pasquetti. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013169.

Full text
Abstract:
If you are interested in technology and innovation, and have been wondering what are the new trends in technological and digital innovation in the solid waste sector in Latin America and the Caribbean, this publication is for you! The transition to the circular economy, climate action, the fourth industrial revolution bring new challenges to operators in the sector. Key challenges highlighted include the need for robust data and the digitization of waste management systems to meet the objectives of the circular economy. The text details the efforts of organizations such as the IDB to develop data generation and analysis tools through digital innovations. It also explores the role of smart waste technologies (SWT), such as Artificial Intelligence (AI), Internet of Things (IoT) and data analytics, in transforming integrated solid waste management (ISWM), improving operational efficiency and supporting sustainable practices. The publication delves into various technological tools used in ISMS, including business intelligence (BI), enterprise resource planning (ERP) and fleet management software. Case studies from countries such as Argentina, Colombia and Ecuador illustrate the successful application of these tools, highlighting their benefits in improving decision making, operational efficiency and overall service quality. The text concludes with recommendations for implementing smart waste technologies in the LAC region to foster digital transformation and support a circular economy model effectively.
APA, Harvard, Vancouver, ISO, and other styles
2

Lianos, Vasilis. Automation and Artificial Intelligence in the possible transition to a postcapitalist society. Mέta | Centre for Postcapitalist Civilisation, 2023. http://dx.doi.org/10.55405/mwp17en.

Full text
Abstract:
Throughout history, technology and its evolution have significantly impacted the societal modes of production and organisation. The highest rise in technological evolution has been observed under the capitalist system. Technology has not, as of yet, proved to be capitalism’s demise. However, some believe that advances in Artificial Intelligence and automation render them radically different technologies to those of the past and will mean capitalism’s demise and the dawn of a new, postcapitalist era. This paper will assess this claim by looking at historical evidence and contemporary theoretical and empirical work to argue that, while it is possible that such technologies are radically different to those of the past and might bring about the fall of the capitalist system, such claims cannot yet be substantiated due to the early stage of the aforementioned technologies’ development.
APA, Harvard, Vancouver, ISO, and other styles
3

Pasupuleti, Murali Krishna. Quantum-Enhanced Machine Learning: Harnessing Quantum Computing for Next-Generation AI Systems. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv125.

Full text
Abstract:
Abstract Quantum-enhanced machine learning (QML) represents a paradigm shift in artificial intelligence by integrating quantum computing principles to solve complex computational problems more efficiently than classical methods. By leveraging quantum superposition, entanglement, and parallelism, QML has the potential to accelerate deep learning training, optimize combinatorial problems, and enhance feature selection in high-dimensional spaces. This research explores foundational quantum computing concepts relevant to AI, including quantum circuits, variational quantum algorithms, and quantum kernel methods, while analyzing their impact on neural networks, generative models, and reinforcement learning. Hybrid quantum-classical AI architectures, which combine quantum subroutines with classical deep learning models, are examined for their ability to provide computational advantages in optimization and large-scale data processing. Despite the promise of quantum AI, challenges such as qubit noise, error correction, and hardware scalability remain barriers to full-scale implementation. This study provides an in-depth evaluation of quantum-enhanced AI, highlighting existing applications, ongoing research, and future directions in quantum deep learning, autonomous systems, and scientific computing. The findings contribute to the development of scalable quantum machine learning frameworks, offering novel solutions for next-generation AI systems across finance, healthcare, cybersecurity, and robotics. Keywords Quantum machine learning, quantum computing, artificial intelligence, quantum neural networks, quantum kernel methods, hybrid quantum-classical AI, variational quantum algorithms, quantum generative models, reinforcement learning, quantum optimization, quantum advantage, deep learning, quantum circuits, quantum-enhanced AI, quantum deep learning, error correction, quantum-inspired algorithms, quantum annealing, probabilistic computing.
APA, Harvard, Vancouver, ISO, and other styles
4

Doo, Johnny. Beyond Aviation: Embedded Gaming, Artificial Intelligence, Training, and Recruitment for the Advanced Air Mobility Industry. SAE International, 2024. https://doi.org/10.4271/epr2024028.

Full text
Abstract:
&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Recent advancements in electric vertical take-off and landing (eVTOL) aircraft and the broader advanced air mobility (AAM) movement have generated significant interest within and beyond the traditional aviation industry. Many new applications have been identified and are under development, with considerable potential for market growth and exciting potential. However, talent resources are the most critical parameters to make or break the AAM vision, and significantly more talent is needed than the traditional aviation industry is able to currently generate. One possible solution—leverage rapid advancements of artificial intelligence (AI) technology and the gaming industry to help attract, identify, educate, and encourage current and future generations to engage in various aspects of the AAM industry.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Beyond Aviation: Embedded Gaming, Artificial Intelligence, Training, and Recruitment for the Advanced Air Mobility Industry&lt;/b&gt; discusses how the modern gaming population of 3.3 million individuals could be engaged through embedded AAM-based scenarios and AI-enhanced grading systems for concept creation, engineering, manufacturing, air space design and management, piloting, remote operations, infrastructure planning, vehicle operations.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
APA, Harvard, Vancouver, ISO, and other styles
5

BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, 2021. http://dx.doi.org/10.12731/er0519.07122021.

Full text
Abstract:
The auroral activity indices AU, AL, AE, introduced into geophysics at the beginning of the space era, although they have certain drawbacks, are still widely used to monitor geomagnetic activity at high latitudes. The AU index reflects the intensity of the eastern electric jet, while the AL index is determined by the intensity of the western electric jet. There are many regression relationships linking the indices of magnetic activity with a wide range of phenomena observed in the Earth's magnetosphere and atmosphere. These relationships determine the importance of monitoring and predicting geomagnetic activity for research in various areas of solar-terrestrial physics. The most dramatic phenomena in the magnetosphere and high-latitude ionosphere occur during periods of magnetospheric substorms, a sensitive indicator of which is the time variation and value of the AL index. Currently, AL index forecasting is carried out by various methods using both dynamic systems and artificial intelligence. Forecasting is based on the close relationship between the state of the magnetosphere and the parameters of the solar wind and the interplanetary magnetic field (IMF). This application proposes an algorithm for describing the process of substorm formation using an instrument in the form of an Elman-type ANN by reconstructing the AL index using the dynamics of the new integral parameter we introduced. The use of an integral parameter at the input of the ANN makes it possible to simulate the structure and intellectual properties of the biological nervous system, since in this way an additional realization of the memory of the prehistory of the modeled process is provided.
APA, Harvard, Vancouver, ISO, and other styles
6

Doo, Johnny. The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications. SAE International, 2023. http://dx.doi.org/10.4271/epr2023020.

Full text
Abstract:
&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Advancements in electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One particularly promising application involves on-demand, rapid-response use cases to broaden first responders, police, and medical transport mission capabilities. With the dynamic and varying public service operations, eVTOL aircraft can offer potentially cost-effective aerial mobility components to the overall solution, including significant lifesaving benefits.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Multi-agent Collaborative Perception for Autonomous Driving: Unsettled Aspects&lt;/b&gt; discusses the challenges need to be addressed before identified capabilities and benefits can be realized at scale: &lt;ul class="list disc"&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Mission-specific eVTOL vehicle development &lt;/div&gt;&lt;/li&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Operator- and patient-specific accommodations&lt;/div&gt;&lt;/li&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Detect-and-avoid capabilities in complex and challenging operating environments&lt;/div&gt;&lt;/li&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Autonomous and artificial intelligence-enhanced mission capabilities&lt;/div&gt;&lt;/li&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Home-base charging systems for battery power platforms&lt;/div&gt;&lt;/li&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Simplified operator and support training&lt;/div&gt;&lt;/li&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt; Vehicle/fleet maintenance and support&lt;/div&gt;&lt;/li&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Acceptance and participation from stakeholder services, local and state-level leadership, field operators, and support team members&lt;/div&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
APA, Harvard, Vancouver, ISO, and other styles
7

Eparkhina, Dina. EuroSea Legacy Report. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d8.12.

Full text
Abstract:
EuroSea is a holistic large-scale project encompassing the full value chain of marine knowledge, from observations to modelling and forecasting and to user-focused services. This report summarizes the legacy of EuroSea as planned and measured through a dedicated impact monitoring protocol, a holistic assessment of the project's successes in advancing and integrating European ocean observing and forecasting systems. Since its start, EuroSea has been analysing how well the project progresses towards the identified areas of impact. Impact assessment is not performance evaluation. These terms overlap but are distinct: performance relates to the efficient use of resources; impact relates to the transformative effect on the users. The EuroSea legacy report is presented through an aggregation and analysis of the EuroSea work towards achieving its impacts. Overall, over 100 impacts have been identified and presented on the website and in a stand-alone impact report. The legacy report sheds light on 32 most powerful impacts (four impacts in each of the eight EuroSea impact areas). EuroSea Impact Areas: 1. Strengthen the European Ocean Observing System (EOOS), support the Global Ocean Observing System (GOOS) and the GOOS Regional Alliances; 2. Increase ocean data sharing and integration; 3. Deliver improved climate change predictions; 4. Build capacity, internally in EuroSea and externally with EuroSea users, in a range of key areas; 5. Develop innovations, including exploitation of novel ideas or concepts; shorten the time span between research and innovation and foster economic value in the blue economy; 6. Facilitate methodologies, best practices, and knowledge transfer in ocean observing and forecasting; 7. Contribute to policy making in research, innovation, and technology; 8. Raise awareness of the need for a fit for purpose, sustained, observing and forecasting system in Europe. Ocean observing and forecasting is a complex activity brining about a variety of technologies, human expertise, in water and remote sensing measurements, high-volume computing and artificial intelligence, and a high degree of governance and coordination. Determining an impact on a user type or an area, therefore, requires a holistic assessment and a clear strategic overview. The EuroSea impact monitoring protocol has been the first known such attempt in a European ocean observing and forecasting project. The project’s progress has been followed according to the identified impact areas, through consortium workshops, stakeholder webinars, tracking, and reporting. At the end of EuroSea, we are able to demonstrate how well we have responded to the European policy drivers set out in the funding call and the grant agreement of our project, signed between the European Commission and 53 organizations, members of the EuroSea consortium. The project's impact is diverse, spanning areas from strengthening ocean observing governance to contributing to policymaking or boosting ocean research, innovation, and technology. Each impact area underscores EuroSea's commitment to a sustainable and informed approach to ocean observing and forecasting for enhanced marine knowledge and science-based sustainable blue economy and policies. (EuroSea Deliverable, D8.12)
APA, Harvard, Vancouver, ISO, and other styles
8

Bourrier, Mathilde, Michael Deml, and Farnaz Mahdavian. Comparative report of the COVID-19 Pandemic Responses in Norway, Sweden, Germany, Switzerland and the United Kingdom. University of Stavanger, 2022. http://dx.doi.org/10.31265/usps.254.

Full text
Abstract:
The purpose of this report is to compare the risk communication strategies and public health mitigation measures implemented by Germany, Norway, Sweden, Switzerland, and the United Kingdom (UK) in 2020 in response to the COVID-19 pandemic based on publicly available documents. The report compares the country responses both in relation to one another and to the recommendations and guidance of the World Health Organization where available. The comparative report is an output of Work Package 1 from the research project PAN-FIGHT (Fighting pandemics with enhanced risk communication: Messages, compliance and vulnerability during the COVID-19 outbreak), which is financially supported by the Norwegian Research Council's extraordinary programme for corona research. PAN-FIGHT adopts a comparative approach which follows a “most different systems” variation as a logic of comparison guiding the research (Przeworski &amp; Teune, 1970). The countries in this study include two EU member States (Sweden, Germany), one which was engaged in an exit process from the EU membership (the UK), and two non-European Union states, but both members of the European Free Trade Association (EFTA): Norway and Switzerland. Furthermore, Germany and Switzerland govern by the Continental European Federal administrative model, with a relatively weak central bureaucracy and strong subnational, decentralised institutions. Norway and Sweden adhere to the Scandinavian model—a unitary but fairly decentralised system with power bestowed to the local authorities. The United Kingdom applies the Anglo-Saxon model, characterized by New Public Management (NPM) and decentralised managerial practices (Einhorn &amp; Logue, 2003; Kuhlmann &amp; Wollmann, 2014; Petridou et al., 2019). In total, PAN-FIGHT is comprised of 5 Work Packages (WPs), which are research-, recommendation-, and practice-oriented. The WPs seek to respond to the following research questions and accomplish the following: WP1: What are the characteristics of governmental and public health authorities’ risk communication strategies in five European countries, both in comparison to each other and in relation to the official strategies proposed by WHO? WP2: To what extent and how does the general public’s understanding, induced by national risk communication, vary across five countries, in relation to factors such as social capital, age, gender, socio-economic status and household composition? WP3: Based on data generated in WP1 and WP2, what is the significance of being male or female in terms of individual susceptibility to risk communication and subsequent vulnerability during the COVID-19 outbreak? WP4: Based on insight and knowledge generated in WPs 1 and 2, what recommendations can we offer national and local governments and health institutions on enhancing their risk communication strategies to curb pandemic outbreaks? WP5: Enhance health risk communication strategies across five European countries based upon the knowledge and recommendations generated by WPs 1-4. Pre-pandemic preparedness characteristics All five countries had pandemic plans developed prior to 2020, which generally were specific to influenza pandemics but not to coronaviruses. All plans had been updated following the H1N1 pandemic (2009-2010). During the SARS (2003) and MERS (2012) outbreaks, both of which are coronaviruses, all five countries experienced few cases, with notably smaller impacts than the H1N1 epidemic (2009-2010). The UK had conducted several exercises (Exercise Cygnet in 2016, Exercise Cygnus in 2016, and Exercise Iris in 2018) to check their preparedness plans; the reports from these exercises concluded that there were gaps in preparedness for epidemic outbreaks. Germany also simulated an influenza pandemic exercise in 2007 called LÜKEX 07, to train cross-state and cross-department crisis management (Bundesanstalt Technisches Hilfswerk, 2007). In 2017 within the context of the G20, Germany ran a health emergency simulation exercise with WHO and World Bank representatives to prepare for potential future pandemics (Federal Ministry of Health et al., 2017). Prior to COVID-19, only the UK had expert groups, notably the Scientific Advisory Group for Emergencies (SAGE), that was tasked with providing advice during emergencies. It had been used in previous emergency events (not exclusively limited to health). In contrast, none of the other countries had a similar expert advisory group in place prior to the pandemic. COVID-19 waves in 2020 All five countries experienced two waves of infection in 2020. The first wave occurred during the first half of the year and peaked after March 2020. The second wave arrived during the final quarter. Norway consistently had the lowest number of SARS-CoV-2 infections per million. Germany’s counts were neither the lowest nor the highest. Sweden, Switzerland and the UK alternated in having the highest numbers per million throughout 2020. Implementation of measures to control the spread of infection In Germany, Switzerland and the UK, health policy is the responsibility of regional states, (Länders, cantons and nations, respectively). However, there was a strong initial centralized response in all five countries to mitigate the spread of infection. Later on, country responses varied in the degree to which they were centralized or decentralized. Risk communication In all countries, a large variety of communication channels were used (press briefings, websites, social media, interviews). Digital communication channels were used extensively. Artificial intelligence was used, for example chatbots and decision support systems. Dashboards were used to provide access to and communicate data.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Artificial Intelligence-Enhanced ERP Systems' for particular source types:
Journal articles Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography