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Relevant bibliographies by topics / Automation; Algorithms; Revolution

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Academic literature on the topic 'Automation; Algorithms; Revolution'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Automation; Algorithms; Revolution"

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Artur, Raimundo Fonseca da Silva, Henrique Michels de Sant´Anna Carlos, Daniel Santana de Souza Diogo, Wellington da Silva Junior Odacy, Rayana Bezerra de Lima Rebeca, and Henrique Ildefonso de Souza Thiago. "O IMPACTO DA INTELIGÊNCIA ARTIFICIAL NA EFICIÊNCIA OPERACIONAL DAS ORGANIZAÇÕES." Revistaft 28, no. 133 (2024): 33. https://doi.org/10.5281/zenodo.11111333.

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A ascensão da Inteligência Artificial (IA) está redefinindo os paradigmas da eficiência  operacional nas organizações. Este artigo busca a influência multifacetada da IA  destacando como a automação inteligente, análise avançada de dados e algoritmos  de aprendizado de máquina convergem para transformar a maneira como as  empresas operam. Não se trata apenas de automatizar tarefas, mas sim de uma  revolução na concepção, execução e refinamen

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Panesar, Sandip S., Michel Kliot, Rob Parrish, Juan Fernandez-Miranda, Yvonne Cagle, and Gavin W. Britz. "Promises and Perils of Artificial Intelligence in Neurosurgery." Neurosurgery 87, no. 1 (2019): 33–44. http://dx.doi.org/10.1093/neuros/nyz471.

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Abstract Artificial intelligence (AI)-facilitated clinical automation is expected to become increasingly prevalent in the near future. AI techniques may permit rapid and detailed analysis of the large quantities of clinical data generated in modern healthcare settings, at a level that is otherwise impossible by humans. Subsequently, AI may enhance clinical practice by pushing the limits of diagnostics, clinical decision making, and prognostication. Moreover, if combined with surgical robotics and other surgical adjuncts such as image guidance, AI may find its way into the operating room and pe

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Oluwasegun Julius Aroba, Michael Rudolph, Nalindren Naicker, et al. "A Bibliometric Analysis Review: The Emerging Technology of Artificial Intelligence for Non-Bio Inspired and Bio-Inspired Algorithm of Wireless Sensor Network from 2005–2022." International Journal of Computer Information Systems and Industrial Management Applications 17 (February 25, 2025): 21. https://doi.org/10.70917/ijcisim-2025-0015.

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Rapid developments in technology, business, and social norms have been observed in the twenty-first century. The fourth industrial revolution has been brought about by most industries moving toward automation and reducing human intervention. Wireless sensor networks are incredibly important to the fourth industrial revolution since they help with modernization. WSNs are networks of sensor and routing nodes that can be integrated into a variety of control systems, such as those used for home automation, electric-power automation, and environmental monitoring. A key problem that typically afflic

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Gunawan, Ali. "Robotic Processes Automation to Improve Business Process Automation: A Systematic Literature Reviews." E3S Web of Conferences 426 (2023): 01009. http://dx.doi.org/10.1051/e3sconf/202342601009.

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Technological developments have been very fast since 2000 until now, and there are many information system applications in all corners of the world. Now, many services to customers or the public are provided by companies, from small to enterprise software, and many institutions already use the platform— digital services to serve customers and society. Industry 4.0 is the fourth industrial revolution since 2010, where technology and accelerated processes have used automation and are accelerating. This technology is Robotic Process Automation (R.P.A) which could automate many organizational busi

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Venkata Amarnath Rayudu Amisetty. "AI-driven mobile and web automation: The CI/CD integration revolution." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 3554–62. https://doi.org/10.30574/wjarr.2025.26.2.2039.

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Artificial intelligence has fundamentally transformed mobile and web automation practices when integrated with modern CI/CD pipelines, creating unprecedented efficiency gains throughout the software development lifecycle. This technical article examines cutting-edge advancements in self-healing test frameworks powered by neural networks that autonomously repair broken test scripts while maintaining exceptional recognition rates across dynamically changing interfaces. The integration of Jenkins within cloud environments enables remarkable scalability improvements through containerized infrastru

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Da Costa-Abreu, Márjory, and Bruno dos Santos F. Silva. "A critical analysis of ’Law 4.0’: The use of Automation and Artificial Intelligence and their impact on the judicial landscape of Brazil." Revista de Direitos Fundamentais e Tributação 1, no. 3 (2020): 01–16. http://dx.doi.org/10.47319/rdft.v1i3.30.

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There is a digital revolution, called Industry 4.0, happening around the world(and therefore, in Brazil as well!) that is shifting our activities from an ’analogic’ to a ’digital’ format. From health to education, we can see more and morethe digitalisation and the automation taking a key part of the work involved inmanaging data (being it private or public) and optimising the processes in general. With this move, the ’realisation’ that there are several possible ways toperform automation including the use of intelligent systems came to light andit has become a particular favourite term used in

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Xue, Yike. "Optimisation of Automation Devices Based on IOT Big Data Algorithms." BIO Web of Conferences 72 (2023): 02003. http://dx.doi.org/10.1051/bioconf/20237202003.

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With the continuous development of communication, sensor and caching technologies, IoT technology has gained rapid opportunities for growth and a huge digital revolution has taken place at all levels of society. Blockchain technology has emerged rapidly in recent years and can be seen as a distributed, time-based ledger of distributed data. It utilises technologies such as consensus protocols, modern cryptography, P2P and smart contracts, which can provide a secure, stable, transparent, auditable and low-consumption system architecture that has a traceable, stable and efficient security manage

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Heruatmadja, Chandra Hermawan, Harjanto Prabowo, H. Leslie Hendric Spits Warnar, and Yaya Heryadi. "Warehouse Technology Revolution: Integration of Drones and Deep Learning Algorithms for Stock Identification and Calculation Automation." Journal of Advanced Research in Applied Sciences and Engineering Technology 64, no. 4 (2025): 74–90. https://doi.org/10.37934/araset.64.4.7490.

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The technological revolution in warehouse management is accelerating, especially with the use of drones and deep learning algorithms to overcome operational challenges. This research aims to develop a deep learning-based automation system that integrates drones for accurate and efficient identification and inventory calculation in retail warehouses. The research method uses the Design Science Research Methodology (DSRM) approach, which includes problem identification, solution development, demonstration, evaluation, and communication. The dataset contains more than 4,000 images of annotated go

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Shafeeq, Ur Rahaman. "Beyond the Data Lake: Harnessing Real-Time Analytics and Automation for Dynamic Decision-Making." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 75, no. 5 (2019): 1–9. https://doi.org/10.5281/zenodo.14352006.

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The revolution going from traditional static data lakes to agile, real-time analytics engines that is really changing how organizations derive value from their data. Advanced integration of real-time analytics with automation in dynamic decision-making is discussed in this article. Using real-time streaming of data, machine learning algorithms, and intelligent automation, the raw data transformation into actionable insights can be facilitated for organizations in real time. These are the very latest innovations that enable companies to make business operations more efficient, significantly enh

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Bindushree G T and Sreedevi M T. "Review on poultry automation using IoT and machine learning." World Journal of Advanced Research and Reviews 8, no. 3 (2020): 466–74. https://doi.org/10.30574/wjarr.2020.8.3.0371.

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The poultry industry is undergoing a transformative technological revolution through the strategic integration of Internet of Things (IoT) and Machine Learning (ML) technologies. This comprehensive review explores the current state of poultry automation, examining innovative approaches that leverage advanced sensor networks, data analytics, and intelligent algorithms to address critical challenges in agricultural productivity. By synthesizing emerging research, the paper demonstrates how IoT and ML technologies are revolutionizing poultry farming through enhanced environmental monitoring, pred

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Books on the topic "Automation; Algorithms; Revolution"

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Revolution AI: Shaping the Future of Intelligent Machines. Albion Lithography Co., 2023.

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Villez, Kris, Daniel Aguado, Janelcy Alferes, Queralt Plana, Maria Victoria Ruano, and Oscar Samuelsson, eds. Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems. IWA Publishing, 2024. http://dx.doi.org/10.2166/9781789061154.

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In recent years, the wastewater treatment field has undergone an instrumentation revolution. Thanks to increased efficiency of communication networks and extreme reductions in data storage costs, wastewater plants have entered the era of big data. Meanwhile, artificial intelligence and machine learning tools have enabled the extraction of valuable information from large-scale datasets. Despite this potential, the successful deployment of AI and automation depends on the quality of the data produced and the ability to analyze it usefully in large quantities. Metadata, including a quantification

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Maasen, Sabine, and Jan-Hendrik Passoth, eds. Soziologie des Digitalen - Digitale Soziologie? Nomos Verlagsgesellschaft mbH & Co. KG, 2020. http://dx.doi.org/10.5771/9783845295008.

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About ten years ago, we were still able to justify the reservations of sociology with regard to digitisation as a healthy caution against the hype of the ‘virtual world’ and ‘cyberspace’; today, the situation looks different: beyond the usual rhetoric of media revolutions, new forms of practice, organisation and order have emerged around digital technologies in more or less all fields, posing tangible challenges to sociological theory-building, methods development and empirical social research. Are our theories based on action, communication or practice suitable for describing the contribution

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Book chapters on the topic "Automation; Algorithms; Revolution"

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Rožanec, Jože M., Elias Montini, Vincenzo Cutrona, et al. "Human in the AI Loop via xAI and Active Learning for Visual Inspection." In Artificial Intelligence in Manufacturing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46452-2_22.

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AbstractIndustrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role of the human worker. Advances in robotics and artificial intelligence open new frontiers of human-machine collaboration. Such collaboration can be realized considering two sub-fields of artificial intelligence: active learning and explainable artificial intelligence. Active learning aims to devise strategies that help obtain data that allows machine learning algorithms to learn better. On the other hand, explainable artificial intelligence aims to make the machine learning models intelligible to the human person. The present work first describes Industry 5.0, human-machine collaboration, and state-of-the-art regarding quality inspection, emphasizing visual inspection. Then it outlines how human-machine collaboration could be realized and enhanced in visual inspection. Finally, some of the results obtained in the EU H2020 STAR project regarding visual inspection are shared, considering artificial intelligence, human-digital twins, and cybersecurity.

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Rodgers, Waymond. "Introduction to Artificial Intelligence and Algorithms." In Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815049541122010003.

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The Fourth Industrial Revolution generation has ushered in extremely sophisticated digital apparatuses that have taken the place of manual processing to ensure higher automation and sophistication. Artificial Intelligence (AI) provides the tools to exhibit human-like behaviors while adjusting to the newly given inputs and accommodating change in the environment. Moreover, the tech-giants such as Amazon, Apple, IBM, Facebook, Google, Microsoft, and many others are investing in generating AI-driven products to facilitate the market demands for sophisticated automation. AI will continually influence areas such as job opportunities, environmental protection, healthcare, and other areas in economic and social systems.

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King, Daniel, and Scott Lawley. "Developments in rational organization." In Organizational Behaviour. Oxford University Press, 2022. http://dx.doi.org/10.1093/hebz/9780192893475.003.0005.

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This chapter begins by tracing how rationalization developed in the Third Industrial Revolution, drawing on the development of computerization. More recently, commentators have suggested that we are entering a Fourth Industrial Revolution. While this brings new forms of organization, it is also an evolution and development of the computerization of the Third Industrial Revolution, and the Taylorist and bureaucratic systems of the Second Industrial Revolution. The chapter then looks at two current and ongoing examples of the trends of the Fourth Industrial Revolution. First, automation and artificial intelligence (AI) are natural extensions of the desire in both the Second and Third Industrial Revolutions to replace human with machine labour; the chapter considers which jobs are in danger of being automated in the near future. Second, the chapter examines the recent rise of the gig economy, where workers take on one short-term job after another, the whole process managed by computer algorithms.

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Baecker, Ronald M. "Automation, work, and jobs." In Computers and Society. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198827085.003.0017.

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The effect of automation on employment and jobs has engaged thoughtful computer scientists and economists since the earliest days of computing. Yet there have been concerns about the effects of technology on employment since ancient times, and notably during the First Industrial Revolution in the nineteenth century by a group of workers known as the ‘Luddites’. Our first topic is the role of algorithms in enabling more efficient processing of job applicants and the selection of candidates to interview. This now includes the automatic filtering out of huge numbers of résumés that are never seen by human resource professionals. Next, we look at how technology is used in monitoring job performance, with the goal of encouraging or requiring enhanced performance. Oftentimes, these practices have the opposite effect, as it makes workers feel like ‘Big Brother’ is watching. Companies have long used contractors to provide flexibility in the availability of workers as well as to circumvent costs such as medical benefits and liabilities such as severance pay. This practice has recently changed dramatically: internet communication can now rapidly link seekers of services to providers of the services. This is typically called the gig economy or sharing economy, yet a better name is on-demand services. We shall then examine areas where automation threatens to replace human workers with machines. Fear is rampant, as typified by a 2017 New York Times article, ‘Will Robots Take Our Children’s Jobs?’ Between 2014 and 2016, future prospects were analysed in five scholarly books. We examine the phenomenon of unemployment by looking at specific areas: agriculture, manufacturing, service industries, and the professions. We highlight how new robotic technology, incorporating sensing, reasoning, and manipulating abilities, is enabling significant automation. Of particular importance is the extent to which new machine learning systems are enabling the automation of thinking and reasoning, which were previously considered infeasible for machines. Arguably the most interesting, challenging, and risky application is that of automatic diagnosis of disease, and, more speculatively, robot doctors.

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Narayana Rao T., Venkat, Manogna Thumukunta, Muralidhar Kurni, and Saritha K. "Computational Statistics-Based Prediction Algorithms Using Machine Learning." In Methodologies and Applications of Computational Statistics for Machine Intelligence. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7701-1.ch004.

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Artificial intelligence and automation are believed by many to be the new age of industrial revolution. Machine learning is an artificial intelligence section that recognizes patterns from vast amounts of data and projects useful information. Prediction, as an application of machine learning, has been sought after by all kinds of industries. Predictive models with higher efficiencies have proven effective in reducing market risks, predicting natural disasters, indicating health risks, and predicting stock values. The quality of decision making through these algorithms has left a lasting impression on several businesses and is bound to alter how the world looks at analytics. This chapter includes an introduction to machine learning and prediction using machine learning. It also sheds light on its approach and its applications.

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Jyothi, Nakka Venkata Naga, Kavuma Asadi, and Rajeswari Pasupula. "ARTIFICIAL INTELLIGENCE (AI) -AN EX SITU REVOLUTION TO THE HEALTHCARE SECTOR." In Futuristic Trends in Pharmacy & Nursing Volume 3 Book 16. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bkpn16p2ch3.

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The act of incorporating and integrating artificial intelligence (AI) in various fields and sectors has really turned tables for all industries, sectors and systems worldwide, and the field of pharmacy is no exception. The tremendous introduction of sophisticated machine learning algorithms has proved AI as an emerging powerful tool to enhance pharmaceutical research, drug discovery, clinical decision-making, and patient care. This paper explores the significant impact of AI in pharmacy, highlighting its potential to transform healthcare delivery and improve patient outcomes. Explicitly discussed are the key applications of AI in pharmacy, including drug discovery and development, precision medicine, medication management, pharmacy automation, and clinical decision support systems, additionally, the challenges and ethical considerations associated with the integration of AI in pharmacy practice, addressing are all fully described.

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Colombathanthri, Anuradha, Walid Jomaa, and Yuvin Chinniah. "Digital Twin-Based Biofeedback Controlling of Human-Cobot Interaction Upon a Manufacturing Application." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde250390.

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Cobots (collaborative robots) are widely exploited in the manufacturing industry as smart assistants in proximity to human operators. The race towards mass automation brought by the fourth industrial revolution has made the safety of humans a widely discussed topic. Industrial guidelines have been introduced to accommodate this change in the manufacturing industry for better use of cobots without compromising human safety. Built-in safety is encouraged to be incorporated from the cobot programming stage itself to facilitate this safe collaborative environment. To achieve that, research is being done to train the cobots with various contact avoidance algorithms. Mitigating productivity loss while the cobots are in these trained safe operating modes, has been identified as a requirement by the researchers to take real advantage of collaborative workspaces. To address this requirement, the authors are proposing a novel cobot-controlling algorithm for human-cobot interaction by considering the biofeedback of the human operator. The proposed algorithm is part of a model workcell development which will be remotely controlled using a digital twin platform.

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Kgope, Tebogo Victoria. "Why are we Here? Challenging Agents of Revolutions through Independent Transformation." In Transforming Higher Education Scholarship after Covid-19 and in the Context of the 4th Industrial Revolution. UJ Press, 2024. http://dx.doi.org/10.36615/9781776490073-07.

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Artificial Intelligence (AI) simply informs us that humans can no longer trust each other, let alone trust themselves, and that we feel better immersing ourselves and trusting machines, robotics, simulated automation, etc. In the context of seeking appropriate analytical modes of understanding in the era of the Fourth Industrial Revolution (4IR), the saying that motho ke motho ka batho is re-imagined, meaning you are human because of other people’s humanness to you. If motho ke motho ka batho can machines that are tasked to do what human beings can do also become machinery because of other robust robotic machines? The search for answers also guards against contestations that warn against the existence of superstitious thinking to embrace evidence-led scientific thinking. However, in applying what may commonly be assumed as superstitious thinking when Credo Mutwa warned against the French and Russian industrial revolutions on actions that would propel Africans to adapt to foreign ways of living, we learn and observe as this chapter affirms that the perceived superstitious thinking was Mutwa’s African scientific thinking which is evidenced today. ‘We’ is used here provocatively to denote in plurality the ancestors or those who walk with someone. It is fundamentally used in the realm and unity of considering that the AI algorithms are also categorised as a “set of rules that instruct a computer to execute specific tasks”.

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Krishna Pasupuleti, Murali. "Industrial Design Revolution: Pioneering Innovations in Modern Design." In Leading Advances in Industrial Design. National Education Services, 2024. http://dx.doi.org/10.62311/nesx/77653.

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Abstract: The chapter "Industrial Design Revolution: Pioneering Innovations in Modern Design" explores the transformative impact of technological advancements, sustainable practices, and human-centered approaches in industrial design. It delves into how digital design tools, AI, and machine learning are revolutionizing the design process, enhancing precision, creativity, and efficiency. The chapter also highlights the importance of sustainable design practices, including the use of eco-friendly materials, design for disassembly, and energy-efficient processes. Case studies of innovative designs in consumer electronics, automotive, and furniture showcase the integration of aesthetics, functionality, and sustainability. The chapter concludes by discussing the emerging trends shaping the future of industrial design, the impact of globalization and localization, and the ethical responsibilities of designers in promoting social responsibility and addressing global challenges like climate change. Keywords: Industrial Design,Innovation,Digital Design Tools,AI and Machine Learning,Sustainable Design,Eco-friendly Materials,Design for Disassembly,Energy Efficiency,Human-Centered Design,Ergonomics,Inclusive Design,Emotional Design,Customization,Personalization,Biophilic Design,Minimalism,Globalization,Localization,Ethical Design and Social Responsibility. References: Abdelhameed, W. (2019). Industrial Revolution Effect on the Architectural Design. 2019 International Conference on Fourth Industrial Revolution (ICFIR). https://doi.org/10.1109/icfir.2019.8894774 Black, J. T. (2023). THE 4TH INDUSTRIAL REVOLUTION AND MANUFACTURING SYSTEMS DESIGN (MSD). Proceeding of Flexible Automation and Integrated Manufacturing 1999. https://doi.org/10.1615/faim1999.10 Félix, M. J., & da Silva, F. M. (2021). The 4th Industrial Revolution—The Future of Design Research and Doctoral Programs. Perspectives on Design and Digital Communication II, 251–258. https://doi.org/10.1007/978-3-030-75867-7_16 Nada, O. (2023). Contemporary Ergonomics: Empowering the Modern Technologies for Smart Operator through the Era of Industrial Revolution 4.0. International Design Journal, 13(6), 407–420. https://doi.org/10.21608/idj.2023.319838 Pereira Pessôa, M. V., & Jauregui Becker, J. M. (2020). Smart design engineering: a literature review of the impact of the 4th industrial revolution on product design and development. Research in Engineering Design, 31(2), 175–195. https://doi.org/10.1007/s00163-020-00330-z Wellstead, A., Heikkila, T., & Wood, M. (2022). Fourth Industrial Revolution and algorithms: new challenges for policy design. Research Handbook of Policy Design. https://doi.org/10.4337/9781839106606.00020

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Nair, Sree Kala. "Digital Transformation and Its Challenges in the Hospitality Industry in Malaysia." In Advances in Business Strategy and Competitive Advantage. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7683-6.ch017.

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Digital transformation and technology development in Industry Revolution (IR) 4.0 are here to stay. The automation, digitalization, robotizing, and a tsunami of innovations that make up IR 4.0 are making their presence stronger as days go by. Newer technologies, like AI, Big Data, the Internet of Things (IoT), and machine-based algorithms, have given the world various choices of high-speed connectivity through online bookings, online shopping, chats, blogs, and virtual realities. AI and technologies have infused digital transformation and continued to dramatically alter the hospitality industry. This qualitative paper aims to explore what type of digitalization has been incorporated and the challenges faced aftermath. The interview results from eight hospitality managers reveal that all hotels except one have incorporated newer technologies mildly aligned with IR 4.0 within their hotels. All the hotels face trials related to technology, namely budgets, rapid upgrading of digitalization, and insufficient technical employees to oversee the administration of these systems.

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Conference papers on the topic "Automation; Algorithms; Revolution"

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Miranda, Rachel, Rafaela Pedrassani, Marcus Nogueira, Wallthynay Arruda, Leticia Rodrigues, and Rafael Paes. "Predictive Analytics Model for Natural Gas Transportation Consumption." In 2024 15th International Pipeline Conference. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/ipc2024-133467.

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Abstract In the current natural gas transportation, operational scheduling heavily relies on daily volume nominations submitted by shippers. However, inaccuracies in these nominations pose significant challenges, leading to imprecise planning and complicating transportation operations. With the advancement of the Fourth Industrial Revolution, driven by automation and artificial intelligence (AI), revolutions are expected across various industries, promising significant improvements in efficiency, safety, and quality. This study focuses on predicting daily consumption in a natural gas distribut

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Agbaji, Armstrong Lee. "Artificial Intelligence and Robotics in the Oil Industry: Will it Take My Job?" In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204643-ms.

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Abstract Historically, the oil and gas industry has been slow and extremely cautious to adopt emerging technologies. But in the Age of Artificial Intelligence (AI), the industry has broken from tradition. It has not only embraced AI; it is leading the pack. AI has not only changed what it now means to work in the oil industry, it has changed how companies create, capture, and deliver value. Thanks, or no thanks to automation, traditional oil industry skills and talents are now being threatened, and in most cases, rendered obsolete. Oil and gas industry day-to-day work is progressively gravitat

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Martić, Vladan, and Milan Liješević. "BUDUĆNOST U SADAŠNJOSTI: UTICAJ VJEŠTAĈKE INTELIGENCIJE NA RAĈUNOVODSTVENU PROFESIJU." In 5. naučni skup Računovodstvena znanja kao činilac ekonomskog i društvenog napretka. Ekonomski fakultetUniverziteta u Kragujevcu, 2025. https://doi.org/10.46793/rz25.481m.

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Digital technology has become an integral part of social life and culture, changing the way we exchange information, conduct business, and perceive the world around us. The accounting profession is also becoming digitalized globally. However, is this really the case in our region? Is the accounting community following key innovations such as artificial intelligence (AI), cloud computing, XBRL, blockchain, and others? AI is emerging as a crucial tool, enabling the use of advanced machine learning algorithms that can analyze large volumes of data in real time. Combined with cloud computing, whic

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Marrone, Teresa, and Pierpaolo Testa. "Brand algorithms and social engagement in digital era." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002562.

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The world we live in today is pervaded by digital, the net is increasingly present and mixes the dimensions of the physical and the virtual, changing the way we understand, decide and evaluate things and also the way we do business. Artificial intelligence (AI) and related technologies are transforming the way we think and do marketing and the way companies relate to consumers and society.Internet has assumed a key role in nurturing innovation within business ecosystems. AI, big data and Internet of things (IoT) are key drivers of the current revolution in the way of communicating and relating

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TAFRAOUT, Salim. "Seismic performance of automatically generated ductile moment resisting frames." In Civil and Environmental Engineering for Resilient, Smart and Sustainable Solutions. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903414-23.

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Abstract. In line with the modernization trend within the Architecture, Engineering, and Construction (AEC) sector, which lags behind the advancements of the 4th industrial revolution, there is a growing focus on automating structural design at an early stage, particularly emphasizing interdisciplinary interfaces. This paper aims to refine and enhance the performance of a recently proposed method to aid in the automation and optimization of the structural design of reinforced concrete moment-resisting frames (MRFs). The proposed method involves generating an optimized layout for a given archit

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Bezditnyi, A. A. "Features of Solid Modeling in Exact Terms." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-947-955.

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The basic operations of constructing solid-state geometric objects in the form of an organized threeparameter set of points in three-dimensional space are described based on algorithms implemented in point calculus. These include shaping operations of extrusion and rotation and a kinematic operation with the possibility of axial rotation of the section plane. For the kinematic operation and the extrusion operation, algorithms are given in a general form without reference to specific examples. Moreover, due to the use of point calculus, the proposed algorithms can be generalized to a multidimen

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Li, Bin, Qi-Bin Huang, and Wei Jiang. "An Improved Imperialist Competitive Algorithm Inspired by Democratic Revolution." In 2022 China Automation Congress (CAC). IEEE, 2022. http://dx.doi.org/10.1109/cac57257.2022.10055651.

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Al Kindi, Omar Al Khatab, and Fahad Khamis Al Kalbani. "Smart Mobile Worker for FCS PM." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211818-ms.

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Abstract Since 1980s, most process industries have embraced digital technology for better understanding and recourses managing, increase overall efficiencies and improve safety. In fact, the Industrial Automation (IA) field has given increase to the 3rd industrial revolution for nearly half a century. However, since then, IT megatrends have driven a significant growth in storage, information, computing power, and bandwidth. In this environment, the present of the network has enabled an open platform in sharing ideas, tool development and an agile strategy to exponentially speed up the software

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Milićević, Bogdan, Miljan Milošević, Mina Vasković Jovanović, Vladimir Milovanović, Nenad Filipovic, and Miloš Kojić. "Overview of Left Ventricular Segmentation in Ultrasound Images." In 2nd International Conference on Chemo and Bioinformatics. Institute for Information Technologies, University of Kragujevac, 2023. http://dx.doi.org/10.46793/iccbi23.359m.

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Due to its great temporal resolution and quick acquisition periods, two-dimensional echocardiography, or shorter 2D echo, is the most used non-invasive approach for assessing heart disease. It offers a grayscale image that anatomical details can be extracted from to evaluate heart functioning. The initial stage in quantifying cardiac function in 2D echo is the segmentation of the left ventricular (LV) walls. The primary boundary identification methods used for 2D echo at the moment are semi-automatic or manual delineation carried out by professionals. However, manual or semi-automatic approach

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Jorge, Germano A. Z., and Thiago A. S. Pardo. "SteamBR: a dataset for game reviews and evaluation of a state-of-the-art method for helpfulness prediction." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/brasnam.2023.230132.

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The digital revolution has led to exponential growth in user-generated content, including ratings and reviews, across numerous online platforms. One such platform is Steam, a multifaceted digital distribution network primarily for video games, that also functions as an active social network. Like many e-commerce, travel, and restaurant platforms, Steam users rely heavily on reviews to inform their purchasing decisions. However, the vast amount of data and varying quality of reviews may hinder the utility of such reviews. Furthermore, there is a significant challenge in assessing the helpfulnes

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