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Dissertations / Theses on the topic 'Artificial intelligence in industry'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Каптюрова, Дарія Олександрівна. "Usage of artificial intelligence in footwear industry." Thesis, Київський національний університет технологій та дизайну, 2020. https://er.knutd.edu.ua/handle/123456789/15308.

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Han, Choong-Hee. "Artificial intelligence methodology for simulatron modeling." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/20285.

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3

Legkiy, Yaroslav, Ярослав Ярославович Легкий, Bohdan Dubchak, and Богдан Мстиславович Дубчак. "Machine learning &artificial intelligence in aerospace industry." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50479.

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Machine Learning & Artificial Intelligence in Aerospace Industry URL: https://www.axiscades.com/blog-resources/whitepaper/Aerospacewhitepaper.pdf<br>It depicts the artіficіal іntelligence as a signіficant role іn cutting costs, reducing the design cycle tіme, simulation, prototyping, optimizatіon, maіntenance, manufacturіng and updatіng products.<br>Визначено штучний інтелект як значущу роль у скороченні витрат, зменшенні часу циклу проектування, моделюванні, прототипуванні, оптимізації, технічному обслуговуванні, виробництві та модернізації продукції.

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Jain, Chahat. "Artificial intelligence in venture capital industry : opportunities and risks." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118544.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 70-74).<br>Artificial intelligence - making machines intelligent - is a methodology to build, train, and run machines that are capable of making decisions on its own. Artificial intelligence technologies are gaining significant adoption across a wide range of activities in an organization across different industries. This is fueled by increasing focus on data-driven decision-making m

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Abramovych, G. V., S. А. Ryndin, and Г. В. Абрамович. "Implementation of artificial intelligence in human life." Thesis, ВНТУ, 2019. http://ir.lib.vntu.edu.ua//handle/123456789/24131.

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The article considers the advantages and disadvantages of using artificial intelligence in human life. The risks of its usage and thoughts of prominent developers are presented.<br>В статті розглянуто переваги і недоліки використання штучного інтелекту у житті людини. Наводяться ризики його використання та думки відомих розробників.

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Shahini, Rei. "Business Intelligence in the Hotel Industry." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100845.

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Applications of artificial intelligence (AI) in hospitality and accommodation have taken an enormous percentage of service-provision, helping automate most of the processes involved such as booking and purchasing, improving the guest experience, tracking of guest preferences and interests, etc. The aim of the study is to understand the roles, benefits and issues with the improvement of business intelligence (BI) in hospitality. This research is purposed to discover the applications of BI in hotel booking and accommodation. The investigation focuses on hotel guest experience, business operation

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Guisiano, Jade Eva. "Dynamic Methane Inventory for Oil and Gas Industry based on Artificial Intelligence." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS206.

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Le méthane atmosphérique est responsable d'environ la moitié du réchauffement climatique depuis l'époque préindustrielle, par rapport à l'influence humaine totale nette. Le secteur pétrolier et gazier se classe au deuxième rang des sources anthropiques de méthane malgré la possibilité d'une réduction de 39 % de ses émissions sans coût net. Cependant, le manque de données fiables sur les émissions nuit à la capacité des gouvernements à mettre en œuvre des mesures d'atténuation efficaces à l'échelle et à la vitesse nécessaires pour atteindre les objectifs fixés par le Global Mthane Pledge. Afin

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Lowe, Timothy James. "Constraint techniques applied to teamworking tasks in clothing industry production." Thesis, Manchester Metropolitan University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389493.

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Regona, Massimo. "Opportunities and adoption constraints of artificial intelligence in the construction industry: A scoping study." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/232514/1/Massimo_Regona_Thesis.pdf.

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This MPhil thesis provides an overview of AI technologies and the key opportunities and challenges these technologies bring to the construction industry. The first study was a literature review that identified and explored the theoretical foundations underpinning AI technologies that are currently being used in construction, specifically in the design, planning and construction stages. Secondly, the study used social media analytics to explore AI technology adoption, prospects and constraints in the Australian construction industry. Finally, a sentiment analysis established the opportunities,

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Nystad, Marcus, and Lukas Lindblom. "Artificial Intelligence in the Pulp and Paper Industry : Current State and Future Trends." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279574.

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The advancements in Artificial Intelligence (AI) have received large attention in recent years and increased awareness has led to massive societal benefits and new opportunities for industries able to capitalize on these emerging technologies. The pulp and paper industry is going through one of the most considerable transformations into Industry 4.0. Integrating AI technology in the manufacturing process of the pulp and paper industry has shown great potential, but there are uncertainties which direction companies are heading. This study is an investigation of the pulp and paper industry in co

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Stephens, Robert Andrew. "Representation and knowledge acquisition : the problem of language." Thesis, University of the West of England, Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321831.

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Van, Wamelen Riaan Joop. "Artificial neural networks in the financial services industry." Thesis, Stellenbosch : Stellenbosch University, 1999. http://hdl.handle.net/10019.1/85178.

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Thesis (MBA)--Stellenbosch University, 1999.<br>ENGLISH ABSTRACT: Neural networks are computer systems that attempt to mimic the operation of the human brain. In contrast to traditional systems these systems can learn and will change their behaviour over time. In the highly competitive business environment of today, neural networks is one of many technologies that can assist organisations in gaining a competitive advantage. Neural networks also find application in the financial services industry. Applications range from corporate distress or failure models to forecasting of stock prices and m

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Tashman, Michael. "The Association Between Film Industry Success and Prior Career History: A Machine Learning Approach." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:24078355.

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My thesis project is a means of understanding the conditions associated with success and failure in the American film industry. This is carried out by tracking the careers of several thousand actors and actresses, and the number of votes that their movies have received on IMDb. A fundamental characteristic of film career success is that of influence from prior success or failure—consider that an established “star” will almost certainly receive opportunities denied to an unknown actor, or that a successful actor with a string of poorly received films may stop receiving offers for desirable role

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Choi, Chiyoung. "Predicting Customer Complaints in Mobile Telecom Industry Using Machine Learning Algorithms." Thesis, Purdue University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10791168.

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<p> Mobile telecom industry competition has been fierce for decades, therefore increasing the importance of customer retention. Most mobile operators consider customer complaints as a key factor of customer retention. We implement machine learning algorithms to predict the customer complaints of a Korean mobile telecom company. We used four machine learning algorithms ANN (Artificial Neural Network), SVM (Support Vector Machine), KNN (K-Nearest Neighbors) and DT (Decision Tree). Our experiment utilized a database of 10,000 Korean mobile market subscribers and the variables of gender, age, devi

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Åberg, Emil, and Yeshodeep Khati. "Artificial Intelligence in Customer Service : A Study on Customers' Perceptions regarding IVR Services in the Banking Industry." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75300.

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Title: Artificial Intelligence in Customer Interactions: A Study on Customers' Perceptionsregarding IVR Services in the Banking Industry Purpose: The purpose of this paper was to explore consumer perspectives on automated IVRcustomer services. Design/methodology/approach: This research paper was conducted qualitatively, where theresearchers developed a framework and a suggested model based on existing research andcollected primary data from eight interviews with open-ended questions. The collected datawas coded so that the researchers could spot patterns in the responses which were thendiscuss

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Jahan, Masrurah. "Factors disrupting the evolution of Artificial Intelligence from the perspective of an IT company." Thesis, Uppsala universitet, Informationssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445631.

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Background: Artificial intelligence has risen to prominence as a subject of study. The pace of artificial intelligence evolution in Bangladesh's IT industry is increasing by the day. In Bangladesh's IT Industry, artificial intelligence (AI) offers enormous potential. Despite the huge potential and advantages of AI implementation or adoption, Bangladesh's IT industry is still failing to move forward with its AI implementation. Objectives: The objective of this study is to identify the main factors that disturb the implementation of AI in the IT Company of Bangladesh. Novelty: In Bangladesh, mos

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Lima, Marcelo Gomes Ferreira. "Arvore de decisão aplicada a bancos de dados de incubatorio de matrizes de postura." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/257012.

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Orientador: Luiz Henrique Antunes Rodrigues<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola<br>Made available in DSpace on 2018-08-11T14:21:00Z (GMT). No. of bitstreams: 1 Lima_MarceloGomesFerreira_M.pdf: 1187384 bytes, checksum: c8afd722e3c0a9ff22e8f9cdff828369 (MD5) Previous issue date: 2007<br>Resumo: Incubatório de ovos é um setor de grande importância na Avicultura de postura. Com a redução dos custos dos equipamentos de informática cresce o armazenamento de dados para gerenciamento do processo produtivo. A Mineração de Dados surge como um

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PATEL, SHARMILA, and MARIAM RABIZADEGAN. "Moving Toward Green Production Systems in the Pharmaceutical Industry : Implementing Artificial Intelligence to Increase Environmental Efforts in SMEs." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300124.

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The pharmaceutical sector is important for human health due to the increasing demand for medical products but is also a pollution and waste intensive industry. There is an urgent need for the industry to review its environmental footprints and simultaneously consider the industrial transformation called Industry 4.0. This is especially true for small and medium sized enterprises (SMEs). To achieve these objectives, it is presumed that artificial intelligence (AI) will have an important role. This thesis sets out to identify barriers that pharmaceutical SMEs may encounter when implementing AI

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Kosovic, Alexandra, and Jeanna Peebo. "A Review of Artificial Intelligence used in Assortment Planning : A Suggested Approach Applied in the Fast Fashion Industry." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300183.

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The short life cycles and highly variable demand in the fast fashion market causes various challenges in a retailer’s supply chain management processes. The essential task at hand is to provide the right product, at the right time, and at the right place. Due to this inherent difficulty, the bullwhip effect is a major issue in the fashion supply chain. To enhance customer satisfaction and increase the alignment between the supply and market place demand, companies have been pushed towards exploiting big data, supply chain analytics and AI techniques for better business decision making. One suc

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Elhoud, Anass. "Artificial intelligence-based approach for acceleration & optimization of hybrid production line preliminary design in the automotive industry." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://indexation.univ-fcomte.fr/nuxeo/site/esupversions/d3a97160-65a3-48c3-b8c5-c431847fc587.

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Dans l’industrie automobile compétitive, l’optimisation des lignes de production est essentielle pour améliorer l’efficacité et la rentabilité. Cette thèse propose une solution complète développée en collaboration avec un acteur majeur du secteur automobile, s’attaquant à trois défis principaux : la planification des séquences d’assemblage, l’équilibrage des ressources et l’évaluation dynamique des performances. La première solution optimise les séquences d’assemblage pour minimiser l’utilisation des ressources et les coûts de production en utilisant l’apprentissage par renforcement et le regr

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SABBATINI, LUISIANA. "Artificial Intelligence and Internet of Things for Industry 4.0 and Society 5.0: Exploration of Theories and Practices to Implement the Future." Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295522.

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Il contesto sociale di oggi è modellato da due tendenze coesistenti: spinta tecnologica e richiesta di applicazioni. Con il primo termine si intende l'emergere, la rapida evoluzione e l'applicazione di tecnologie innovative, del regno dell'ICT (come IoT) e dell'analisi dei dati (come Intelligenza Artificiale, Machine e Deep Learning). La seconda tendenza è invece una peculiarità del mercato odierno, costruito su requisiti come il basso costo, l’alto tasso tecnologico, la personalizzazione e la facile accessibilità tra gli altri. Grazie a queste due tendenze coesistenti e sinergiche, l'intera s

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ANWAR, ARAN, and ARAVINTHAN KANANATHAN. "Capturing Value When Implementing APM 4.0 : Within the Swedish Automotive Industry." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279018.

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The automotive industry is in a period of significant change with different emerging technologies trying to impact the industry. It is in a time where the fourth industrial revolution, Industry 4.0, opens up opportunities for OEMs to improve their products and services with the help of transitioning towards Asset Performance Management (APM 4.0). This master thesis has identified various OEMs values with the help of the framework Value Mapping Tool to help the companies capitalize on these opportunities. The values were divided into the following subvalues; Value Captured, Value Missed, and Va

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Dries, Monique Henriette van den. "Archaeology and the application of artificial intelligence : case-studies on use-wear analysis of prehistoric tools /." Leiden : University of Leiden, Faculty of archaeology, 1998. http://catalogue.bnf.fr/ark:/12148/cb37069588c.

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Johnsson, Pucic Antonio, and Patrik Mott. "Artificiell intelligens påverkan : En omstrukturering av den digitala aspekten av byggbranschen." Thesis, Uppsala universitet, Institutionen för samhällsbyggnad och industriell teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413014.

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Digitalization is taking place at a high rate and is being implemented to a large extent in society, however, the construction industry is showing a digital degree of development that cannot be compared with other technically dependent industries. The construction industry generates large amounts of money and produces a long construction process that also produces high costs and has an impact on the environment. Therefore, there is a need to analyze and investigate how the digital aids that come with an increased degree of digitalization can make the construction industry more efficient. The e

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Jain, Sheenam. "Big data management using artificial intelligence in the apparel supply chain : opportunities and challenges." Thesis, Lille 1, 2020. http://www.theses.fr/2020LIL1I051.

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L’industrie de l'habillement a bénéficié, au cours de la dernière décennie, de l'application de big data et de l'intelligence artificielle pour résoudre divers problèmes commerciaux. Face à la concurrence accrue sur le marché et aux attentes des clients en matière de personnalisation, ces industriels sont en permanence à la recherche des moyens d'améliorer leurs stratégies commerciales afin d'accroître leur rapidité et leur rentabilité. A cet égard, les solutions de gestion de big data offrent aux enseignes de la distribution textile la possibilité d'explorer leur chaîne d'approvisionnement et

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Truvé, Theodor, Måns Wallin, and David Ryfors. "Swedish manufacturing SMEs readiness for Industry 4.0 : What factors influence an implementation of Artificial Intelligence and how ready are manufacturing SMEs in Sweden?" Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44245.

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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.

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Matz, Filip, and Yuxiang Luo. "Explaining Automated Decisions in Practice : Insights from the Swedish Credit Scoring Industry." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300897.

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The field of explainable artificial intelligence (XAI) has gained momentum in recent years following the increased use of AI systems across industries leading to bias, discrimination, and data security concerns. Several conceptual frameworks for how to reach AI systems that are fair, transparent, and understandable have been proposed, as well as a number of technical solutions improving some of these aspects in a research context. However, there is still a lack of studies examining the implementation of these concepts and techniques in practice. This research aims to bridge the gap between pro

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Bergström, Stacey Isabel, Philip Svenningsson, and Anton Thoresson. "The Era of Artificial Intelligence in Swedish Banking : Exploring Customer Attitudes Towards AI as a Substitute to Brick and Mortar Offices." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39859.

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Background: The wave of Artificial Intelligence (AI) is marching on, replacing jobs and traditional services, and is predicted to be one of the biggest marketing trends in the close future. Four of the major Swedish banks have started to implement AI as a customer service channel. Simultaneously, the Swedish banking industry is experiencing an all-time low in customer satisfaction, where one of the main reasons is the diminishing number of local branches. Purpose: The purpose of this thesis is to explore the attitudes that customers have towards AI in customer service, as a substitute to local

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Rybníček, Jan. "Využití umělé inteligence při řešení rozvrhovacího problému." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241515.

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This thesis deals with scheduling problems and algorithms usable to solve them. Scheduling algorithms seek an optimal allocation of resources over time while using constraints. Scheduling problems are often different in nature and type of constraint conditions. In the practical part is solved one particular type of scheduling problem, which is a constrained version of the common scheduling problem.

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Zhou, Rongyan. "Exploration of opportunities and challenges brought by Industry 4.0 to the global supply chains and the macroeconomy by integrating Artificial Intelligence and more traditional methods." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPAST037.

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L'industrie 4.0 est un changement important et un défi de taille pour chaque segment industriel. La recherche utilise d'abord l'analyse de la littérature pour trier la littérature et énumérer la direction du développement et l'état d'application de différents domaines, ce qui se consacre à montrer un rôle de premier plan pour la théorie et la pratique de l'industrie 4.0. La recherche explore ensuite la tendance principale de l'offre à plusieurs niveaux dans l'industrie 4.0 en combinant l'apprentissage automatique et les méthodes traditionnelles. Ensuite, la recherche examine la relation entre

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Ekelöf, Alexander, and Mikaela Stålring. "Framtidens industri: Från visionen Industri 4.0 idag till verkligheten imorgon : En fallstudie på HordaGruppen AB." Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-53644.

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Företags framtid ligger i dess egna händer; beroende på hur väl de anpassar sig till nya förutsättningar i alla dess former så kommer vissa att överleva medan andra går i graven. Under flera hundra år har utvecklingen inom industrin medfört att företag kommit och gått. Idag står vi enligt flera inför randen till en ny teknisk era med en fjärde industriell revolution som följd, Industri 4.0. Vi har en evolution mot en mer automatiserad tillverkningsindustri där allt fler moment sker utan en människas händer bakom spakarna. Industri 4.0 ses av många som en vision om hur framtiden kommer att se u

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Vereschak, Oleksandra. "Understanding Human-AI Trust in the Context of Decision Making through the Lenses of Academia and Industry : Definitions, Factors, and Evaluation." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS552.

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Avec l'essor des systèmes d'aide à la décision intégrant l'intelligence artificielle (AI) dans le domaine médical, judiciaire ou du recrutement, la confiance entre l'humain et l'IA est devenue une priorité dans la conception de ces systèmes. De nombreux gouvernements et grandes entreprises ainsi que des chercheurs proposent diverses stratégies pour favoriser la confiance dans les systèmes intégrant l'IA. Cependant, la confiance est un concept complexe et multidimensionnel, et la confiance entre l'humain et l'IA, qui est un sujet de recherche récent, fait face à plusieurs défis. Sur le plan thé

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Coiro, Lorenzo. "Deep-learning in industry: design of a Convolutional Neural Network for quality inspection in mass production." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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The core of this thesis is the use of Artificial Intelligence for quality inspection purposes. The quality control system devised based on deep-learning deploys in particular the convolutional neural network structure. The challenging idea was to design a CNN from scratch able to recognize images of defective caps that could replace the already implemented Image processing system. Chapter 2 contains a comparison between those two different technologies, focusing in particular on the strengths that lead to opting for the Convolutional Neural Network structure to replace the inspection syst

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Hugosson, Beatrice, Donna Dinh, and Gabriella Esmerson. "Why you should care: Ethical AI principles in a business setting : A study investigating the relevancy of the Ethical framework for AI in the context of the IT and telecom industry in Sweden." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44236.

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Background: The development of artificial intelligence (AI) is ever increasing, especially in the telecom and IT industry due to its great potential competitive advantage. However, AI is implemented at a fast phase in society with insufficient consideration for the ethical implications. Luckily, different initiatives and organizations are now launching ethical principles to prevent possible negative effects stemming from AI usage. One example is the Ethical Framework for AI by Floridi et al., (2018) who established five ethical principles for sustainable AI with inspiration from bioethics. Mor

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Argerich, martin Clara. "Etude et développement de nouvelles technologies acoustiques pour nacelle produits." Thesis, Paris, HESAM, 2020. http://www.theses.fr/2020HESAE019.

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Cette thèse visite toutes les étapes qui participent à la conception d'une nouvelle technologie du point de vue de l'industrie 4.0, où les approches fondées sur les données et les techniques d'intelligence artificielle deviennent de plus en plus pointues. L'objectif de cette thèse est d'établir les outils qui peuvent aider à concevoir et à fabriquer plus rapidement les nouvelles technologies en cours de développement. Tout d'abord, les procédés de fabrication sont un sujet brûlant de la thèse. La fabrication de revêtements acoustiques pour les nacelles sera présentée et l'utilisation des techn

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Larsson, Louise, and Jennie Nilsson. "Facilitating an Industry 4.0 Implementation." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254603.

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We are today facing an industrial revolution called Industry 4.0. Earlier in the human history, we have seen multiple industrial revolutions, but only after they actually happened. This is the first time we can see that an industrial revolution is on its way. Witht his knowledge, we have the chance to prepare for this large‐scaled technological change that we are standing in front of. Because of the impact that earlier industrial revolutions had on organizations, we can assume that Industry 4.0, as well, will impact and change work, tasks and the organizations themselves; especially when it co

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Rönnberg, Hanna, and Jenny Areback. "Initiating transformation towards AI in SMEs." Thesis, Luleå tekniska universitet, Industriell Ekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79343.

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Purpose – The purpose is to explore how SMEs can initiate transformation towards AI. The purpose will be fulfilled through identifying which opportunities that exist for SMEs and which challenges they are facing. Additionally, we will identify which requirements are necessary to face these challenges. Method – A qualitative approach was most suitable for this study since the purpose is to explore how SMEs can initiate transformation towards AI. It was also suitable since we have collected data through interviews. We have done a single case study where we have studied one supply chain. Finally,

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Schmidt, Lucas. "Controle, supervisão e suporte à tomada de decisões em processos avícolas." Universidade Tecnológica Federal do Paraná, 2018. http://repositorio.utfpr.edu.br/jspui/handle/1/3252.

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A produção de frangos de corte vem assumindo papel de grande importância socioeconômica para o Brasil. Para o sucesso no desenvolvimento das aves, é fundamental um controle adequado de temperatura e umidade no interior do aviário, uma vez que o conforto térmico define a relação entre o consumo de ração e a produção de carne. Os métodos atuais de controle, comumente utilizados nos aviários brasileiros, não apresentam a eficiência desejável. Apesar de existirem dispositivos semiautomáticos, esses são dependentes da percepção e da intervenção do especialista humano, o que tende a ser ineficiente

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Göransson, Johanna, and Sofi Glas. "AI-READINESS : En kvalitativ fallstudie i skogsindustrin." Thesis, Umeå universitet, Institutionen för informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-183674.

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Organizations in all industries have reached a transition point because of the rapid development of digital technology. Digitalization and AI has therefore become the driving force for transformation within today's organizations to remain competitive in the digital era. The forest industry is no exception. However, digital transformation through AI within organizations is synonymous with high complexity and the forestry industry faces unique challenges to overcome because of the industry's traditional approach and the corporate culture that comes with it. This approach creates challenges for t

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Nittler, Josefine, and Mattias Ahlsén. "Key components of building customer trust in the space industry : An investigation of the future of satellite applications." Thesis, Uppsala universitet, Industriell teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447558.

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This study is an empirical case study of the Swedish space- and automation company Unibap AB about how to build trust in the space industry. The space industry is distinctive in the way that space missions are at high stakes because of the high costs and the fact that the technology can not be modified after launch. Reliability and trust are therefore crucial factors of doing business in the space industry. Also, AI-based satellite solutions can bring huge benefits but 60% of the resistance from companies to running AI is linked to lack of trust. The concept of trust has been discussed before

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Hémono, Pierre. "Optimisation multi-objectifs de la collaboration homme-robot basée sur l’intelligence artificielle : application à l’industrie aéronautique." Electronic Thesis or Diss., Paris, ENSAM, 2025. http://www.theses.fr/2025ENAME002.

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L'industrie 5.0 révolutionne la production manufacturière, recentrant l'humain au cœur des processus grâce à des technologies avancées comme la collaboration homme-robot. Dans ce contexte, il est essentiel non seulement d'optimiser la planification des tâches en tenant compte des particularités de chaque ressource, mais aussi de gérer efficacement les interactions entre opérateurs humains et robots. Les facteurs humains, tels que la fatigue, le bien-être et les capacités cognitives, souvent négligés dans les systèmes actuels, jouent un rôle déterminant dans le succès de cette collaboration. Ce

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Elvelind, Sofia. "Mönsterigenkänning och trendanalys i elnät : Prognostisering av elkvalitet samt effektuttag inom industrin." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159799.

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Intresset för elkvalitet har ökat då elektrisk utrustning, såsom omriktare, numera ger upphov till mer störningar. Elektrisk utrustning har också blivit mer känslig mot störningar samtidigt som industrier har blivit mindre toleranta mot produktionsstörningar. Traditionellt har felhantering i elnät skett när problemet redan uppstått och utgått från historiska data. Metrum har dock genom sin applikation PQ4Cast introducerat mönsterigenkänning för att prognosticera elkvalitetsparametrar samt aktiv effekt och i och med det bidra till ett proaktivt underhåll. Applikationen skapar en prognos för kom

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Gavelli, Alessandro. "Verso Industry 4.0: profilazione di dati telemetrici di produzione presso Bonfiglioli Riduttori S.p.A." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Nella cosiddetta “era dei Big Data” le aziende sono sempre più guidate dai dati nel prendere decisioni strategiche, tanto che è stato coniato il termine data-drive companies per descrivere questo fenomeno. Tra le numerose tipologie di dati, l’acquisizione di quelli telemetrici, ovvero ottenuti a partire da sensori posizionati sulle macchine, si sta sempre più affermando grazie al paradigma dell’Industria 4.0. Il vantaggio principale consiste nella possibilità di utilizzare le informazioni ricavabili per aumentare la produttività degli impianti, in particolare grazie alla manutenzione predittiv

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DESTEFANIS, ALESSANDRO. "Technology-enabled business models and the consequences on tourism industry: current impacts on incumbents and communities and future impacts from AI technology adoption." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2968793.

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ILARDI, DAVIDE. "Data-driven solutions to enhance planning, operation and design tools in Industry 4.0 context." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104513.

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This thesis proposes three different data-driven solutions to be combined to state-of-the-art solvers and tools in order to primarily enhance their computational performances. The problem of efficiently designing the open sea floating platforms on which wind turbines can be mount on will be tackled, as well as the tuning of a data-driven engine's monitoring tool for maritime transportation. Finally, the activities of SAT and ASP solvers will be thoroughly studied and a deep learning architecture will be proposed to enhance the heuristics-based solving approach adopted by such software. The cov

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Lieti, Valerio. "Development of an Industrial IoT End-to-End Use Case." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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This project is born merging my personal interest in IoT and AI fields and the collaboration with WiLab, Bi-rex and EBWorld. By joining different skills, the final result is the realization of an end-to-end Industrial IoT application. This IIoT use-case focuses on monitoring accelerations that characterize a turntable, on which mechanical parts are processed. The purpose of the monitoring is to implement predictive maintenance to report potential malfunctions. The turntable in question belongs to DMG Mori, a five-axis turning and milling machine for subtractive manufacturing, machine located a

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Dekhtiar, Jonathan. "Deep Learning and unsupervised learning to automate visual inspection in the manufacturing industry." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2513.

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La croissance exponentielle des besoins et moyens informatiques implique un besoin croissant d’automatisation des procédés industriels. Ce constat est en particulier visible pour l’inspection visuelle automatique sur ligne de production. Bien qu’étudiée depuis 1970, peine toujours à être appliquée à de larges échelles et à faible coûts. Les méthodes employées dépendent grandement de la disponibilité des experts métiers. Ce qui provoque inévitablement une augmentation des coûts et une réduction de la flexibilité des méthodes employées. Depuis 2012, les avancées dans le domaine associé à l’étude

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Shapovalenko, A. "Artificial intelligence." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33830.

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Technology of artificial intelligence will soon be able to help ensure the safety of your family, protecting it from the threat of international and domestic burglaries. In the USA the Department of Security also implements special software in its monitoring system, which scans phone calls and other messages. These programs can rapidly process large volumes of data and are even able to distinguish between a normal conversation from a potential threat. The old security system simply relied on sensors that reacted to a movement. Modern systems are directly related to artificial intelligence, whi

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Башлак, Ірина Анатоліївна, Ирина Анатольевна Башлак, Iryna Anatoliivna Bashlak, and I. Kurinnyy. "Artificial intelligence." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13517.

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