Bibliographies thématiques / Industrie 5.0 / Livres

Livres sur le sujet « Industrie 5.0 »

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Auteur : Grafiati
Publié le 23 septembre 2023
Mis à jour le 7 juillet 2024

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1

Maasberg, Wolfgang. Commercial-Industrial Cleaning, by Pressure-Washing, Hydro-Blasting and UHP-Jetting. London : Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-835-5.

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SALGUES. Societe 5. 0-Industrie du Futur,Tech,Meth : Societe 5. 0-Industrie du Futur, Technologies, Methodes et Outils. ISTE Editions Ltd., 2018.

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Elangovan, Uthayan. Industry 5. 0 : The Future of the Industrial Economy. Taylor & Francis Group, 2021.

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Elangovan, Uthayan. Industry 5. 0 : The Future of the Industrial Economy. Taylor & Francis Group, 2021.

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Industry 5. 0 : The Future of the Industrial Economy. Taylor & Francis Group, 2021.

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6

Bhatnagar, Vishal, Prashant Johri, Vikram Bali et Sapna Sinha. Disruptive Technologies for Society 5. 0. Taylor & Francis Group, 2021.

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7

Show, Pau Loke, Kit Wayne Chew et Tau Chuan Ling. Prospect of Industry 5. 0 in Biomanufacturing. Taylor & Francis Group, 2021.

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Show, Pau Loke, Kit Wayne Chew et Tau Chuan Ling. Prospect of Industry 5. 0 in Biomanufacturing. Taylor & Francis Group, 2021.

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Show, Pau Loke, Kit Wayne Chew et Tau Chuan Ling. Prospect of Industry 5. 0 in Biomanufacturing. Taylor & Francis Group, 2021.

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10

Bhatnagar, Vishal, Prashant Johri, Vikram Bali et Sapna Sinha. Disruptive Technologies for Society 5. 0 : Exploration of New Ideas, Techniques, and Tools. Taylor & Francis Group, 2021.

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Disruptive Technologies for Society 5. 0 : Exploration of New Ideas, Techniques, and Tools. Taylor & Francis Group, 2021.

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12

Bhatnagar, Vishal, Prashant Johri, Vikram Bali et Sapna Sinha. Disruptive Technologies for Society 5. 0 : Exploration of New Ideas, Techniques, and Tools. Taylor & Francis Group, 2021.

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13

Release 2. 0 : Issue 5. O'Reilly Media, Incorporated, 2009.

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14

Massaro, Alessandro. Electronics in Advanced Research Industries : Industry 4. 0 to Industry 5. 0 Advances. Wiley & Sons, Incorporated, John, 2021.

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Massaro, Alessandro. Electronics in Advanced Research Industries : Industry 4. 0 to Industry 5. 0 Advances. Wiley & Sons, Limited, John, 2021.

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Massaro, Alessandro. Electronics in Advanced Research Industries : Industry 4. 0 to Industry 5. 0 Advances. Wiley & Sons, Incorporated, John, 2021.

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Massaro, Alessandro. Electronics in Advanced Research Industries : Industry 4. 0 to Industry 5. 0 Advances. Wiley & Sons, Incorporated, John, 2021.

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18

Khan, Shahnawaz, Thirunavukkarasu K, Ayman AlDmour et Salam Salameh Shreem. Step Towards Society 5. 0 : Research, Innovations, and Developments in Cloud-Based Computing Technologies. Taylor & Francis Group, 2021.

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Khan, Shahnawaz, Thirunavukkarasu K, Ayman AlDmour et Salam Salameh Shreem. Step Towards Society 5. 0 : Research, Innovations, and Developments in Cloud-Based Computing Technologies. Taylor & Francis Group, 2021.

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20

Kumar, Kuldeep, Kavita Taneja, Harmunish Taneja, Arvind Selwal et Eng Lieh Ouh. Data Science and Innovations for Intelligent Systems : Computational Excellence and Society 5. 0. Taylor & Francis Group, 2021.

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Data Science and Innovations for Intelligent Systems : Computational Excellence and Society 5. 0. Taylor & Francis Group, 2021.

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Kumar, Abhishek, Surbhi Bhatia, Pramod Singh Rathore, Parul Gandhi et Mohammad Ali Alojail. Internet of Things in Business Transformation : Developing an Engineering and Business Strategy for Industry 5. 0. Wiley & Sons, Limited, John, 2021.

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Internet of Things in Business Transformation : Developing an Engineering and Business Strategy for Industry 5. 0. Wiley & Sons, Incorporated, John, 2020.

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Industrial Agents. Elsevier, 2015. http://dx.doi.org/10.1016/c2013-0-15269-5.

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Industrial Tomography. Elsevier, 2015. http://dx.doi.org/10.1016/c2013-0-16466-5.

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Industrial Oil Crops. Elsevier, 2016. http://dx.doi.org/10.1016/c2015-0-00068-5.

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Kadry, Seifedine, Neeraj Mohan, Ruchi Singla et Priyanka Kaushal. Artificial Intelligence, Machine Learning, and Data Science Technologies : Future Impact and Well-Being for Society 5. 0. Taylor & Francis Group, 2021.

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Kadry, Seifedine, Neeraj Mohan, Ruchi Singla et Priyanka Kaushal. Artificial Intelligence, Machine Learning, and Data Science Technologies : Future Impact and Well-Being for Society 5. 0. Taylor & Francis Group, 2021.

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29

The Smartest Guys in the Room : The amazing rise and scandalous fall of Enron. Penguin, 2004.

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30

Green Nanomaterials for Industrial Applications. Elsevier, 2022. http://dx.doi.org/10.1016/c2019-0-05237-5.

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Industrial Chemical Process Analysis and Design. Elsevier, 2016. http://dx.doi.org/10.1016/c2015-0-06319-5.

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Industrial Waste Treatment. Elsevier, 2007. http://dx.doi.org/10.1016/b978-0-12-372493-9.x5031-5.

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Yusuf, Shahid, Kaoru beshima et Shoichi Yamashita, dir. Growing Industrial Clusters in Asia. The World Bank, 2008. http://dx.doi.org/10.1596/978-0-8213-7213-5.

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34

Embracing the Future : Creative Industries for Environment and Advanced Society 5. 0 in a Post-Pandemic Era : Proceedings of the 8th Bandung Creative Movement International Conference on Creative Industries , Bandung, Indonesia, 9 September 2021. CRC Press LLC, 2022.

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Apsari, Diani, Sri Maharani Budi Haswati, Hana Faza Surya Rusyda, Aisyi Syafikarani et Rahmiati Aulia. Embracing the Future : Creative Industries for Environment and Advanced Society 5. 0 in a Post-Pandemic Era : Proceedings of the 8th Bandung Creative Movement International Conference on Creative Industries , Bandung, Indonesia, 9 September 2021. CRC Press LLC, 2022.

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36

Apsari, Diani, Sri Maharani Budi Haswati, Hana Faza Surya Rusyda, Aisyi Syafikarani et Rahmiati Aulia. Embracing the Future : Creative Industries for Environment and Advanced Society 5. 0 in a Post-Pandemic Era : Proceedings of the 8th Bandung Creative Movement International Conference on Creative Industries , Bandung, Indonesia, 9 September 2021. CRC Press LLC, 2022.

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37

Industrial Applications of Lasers. Elsevier, 1997. http://dx.doi.org/10.1016/b978-0-12-583961-7.x5000-5.

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38

Advances in Industrial Systems. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-12-012737-5.x5001-4.

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39

Functionality, Advancements and Industrial Applications of Heat Pipes. Elsevier, 2020. http://dx.doi.org/10.1016/c2019-0-01065-5.

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40

Aerosol Science for Industrial Hygienists. Elsevier, 1995. http://dx.doi.org/10.1016/b978-0-08-042029-5.x5000-4.

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41

Handbook of Materials Failure Analysis with Case Studies from the Chemicals, Concrete and Power Industries. Elsevier, 2016. http://dx.doi.org/10.1016/c2014-0-01714-5.

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42

Rudoi, M. D., I. A. Umnyagina, E. V. Makarova et V. V. Troshin. The use of volumetric sphygmography to assess cardiovascular risk in people working under the influence of industrial noise : manual for doctors. Remedium Privolzhje, 2023. http://dx.doi.org/10.21145/978-5-6051016-0-4_2023.

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The information and methodological manual was approved at the meeting of the Academic Council of the Nizhny Novgorod Research Institute of Hygiene and Occupational Pathology of Rospotrebnadzor on 21.09.2023, recommended for in-depth mandatory medical examinations of workers in harmful working conditions, with additional professional education of occupational pathologists. The relevance of the manual is due to the fact that diseases of the circulatory system currently remain the leading causes of morbidity and mortality of people of working age, at the same time, the complex of clinical and laboratory studies regulated by normative documents on mandatory medical examinations of workers in harmful working conditions is not always sufficient to identify a risk group for this pathology. The aim of the manual is to provide methodological and practical assistance to occupational pathologists to identify a risk group for cardiovascular diseases during mandatory medical examinations of workers exposed to industrial noise using sphygmography. The training manual provides practical recommendations on the use of the sphygmography technique during mandatory medical examinations, provides comparisons of its results with data from other clinical and instrumental studies based on the analysis of existing regulatory and methodological documents, scientific literature and own experience. An algorithm for assessing cardiovascular risk in people working with industrial noise has been developed, the most informative sphygmography indicators have been identified to determine a risk group among this contingent of workers. An algorithm for assessing cardiovascular risk in people working with industrial noise has been developed, the most informative sphygmography indicators have been identified to determine a risk group among this contingent of workers.
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43

Dudina, Dina V. Sintering of powder materials. NSTU Publisher, 2022. http://dx.doi.org/10.17212/978-5-7782-4515-0.

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This study guide corresponds to “Sintering of powder materials” course of the Master degree program at Novosibirsk State Technical University 22.04.01 – Materials Science and Technology. The guide consists of six parts and contains a brief overview of historical aspects of sintering, powder fabrication and characterization methods, powder shaping and compaction processes, and the basics of solid state and liquid phase sintering. The guide also contains a description of advanced sintering methods and sintering processes found in additive manufacturing. Classical and novel materials obtainable by sintering are described. Current trends in the development of sintering science are discussed. Each part of the guide is followed by control questions. Problems with solutions are offered to help the student solve problems encountered in real research and industrial sintering practice. Problems for self-study are also provided, many of which were designed by the author based on her own research experience. Topics for self-study are provided and can be used for students’ presentations at seminars.
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44

Lyapin, V. G. Theoretical foundations of electrical engineering. Publishing house of the Russian state agrarian University UN-TA im. K. A. Timiryazeva, 2024. http://dx.doi.org/10.26897/978-5-9675-2028-0-2024-82.

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The workbook contains exercises and methods of laboratory work in accord-ance with the curriculum of the education program of the baccalaureate's degree in the discipline "theoretical foundations of electrical engineering". Each section of the workbook includes the procedure for performing laboratory work, forms of reports on the work performed and control questions to check the level of knowledge. It is intended for bachelors studying in the areas ofeducation 13.03.02 "Elec-tric power industry and Electrical engineering" and 35.03.06 "Agroengineering
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45

Sangeetha, V., et S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.

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Artificial Intelligence (AI) has emerged as a defining force in the current era, shaping the contours of technology and deeply permeating our everyday lives. From autonomous vehicles to predictive analytics and personalized recommendations, AI continues to revolutionize various facets of human existence, progressively becoming the invisible hand guiding our decisions. Simultaneously, its growing influence necessitates the need for a nuanced understanding of AI, thereby providing the impetus for this book, “Introduction to Artificial Intelligence and Neural Networks.” This book aims to equip its readers with a comprehensive understanding of AI and its subsets, machine learning and deep learning, with a particular emphasis on neural networks. It is designed for novices venturing into the field, as well as experienced learners who desire to solidify their knowledge base or delve deeper into advanced topics. In Chapter 1, we provide a thorough introduction to the world of AI, exploring its definition, historical trajectory, and categories. We delve into the applications of AI, and underscore the ethical implications associated with its proliferation. Chapter 2 introduces machine learning, elucidating its types and basic algorithms. We examine the practical applications of machine learning and delve into challenges such as overfitting, underfitting, and model validation. Deep learning and neural networks, an integral part of AI, form the crux of Chapter 3. We provide a lucid introduction to deep learning, describe the structure of neural networks, and explore forward and backward propagation. This chapter also delves into the specifics of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). In Chapter 4, we outline the steps to train neural networks, including data preprocessing, cost functions, gradient descent, and various optimizers. We also delve into regularization techniques and methods for evaluating a neural network model. Chapter 5 focuses on specialized topics in neural networks such as autoencoders, Generative Adversarial Networks (GANs), Long Short-Term Memory Networks (LSTMs), and Neural Architecture Search (NAS). In Chapter 6, we illustrate the practical applications of neural networks, examining their role in computer vision, natural language processing, predictive analytics, autonomous vehicles, and the healthcare industry. Chapter 7 gazes into the future of AI and neural networks. It discusses the current challenges in these fields, emerging trends, and future ethical considerations. It also examines the potential impacts of AI and neural networks on society. Finally, Chapter 8 concludes the book with a recap of key learnings, implications for readers, and resources for further study. This book aims not only to provide a robust theoretical foundation but also to kindle a sense of curiosity and excitement about the endless possibilities AI and neural networks offer. The journ
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