Machine Learning Multi Agent And Cyber Physical Systems Proceedings Of The 15th International Flins Conference Flins 2022

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Machine Learning, Multi Agent And Cyber Physical Systems - Proceedings Of The 15th International Flins Conference (Flins 2022)

Author : Qinglin Sun
Publisher : World Scientific
ISBN 13 : 9811269270
Total Pages : 686 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Machine Learning, Multi Agent And Cyber Physical Systems - Proceedings Of The 15th International Flins Conference (Flins 2022) by : Qinglin Sun

Download or read book Machine Learning, Multi Agent And Cyber Physical Systems - Proceedings Of The 15th International Flins Conference (Flins 2022) written by Qinglin Sun and published by World Scientific. This book was released on 2022-12-20 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, an acronym originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, was inaugurated by Prof. Da Ruan of the Belgian Nuclear Research Center (SCK·CEN) in 1994 with the purpose of providing PhD and Postdoc researchers with a platform to present their research ideas in fuzzy logic and artificial intelligence. For more than 28 years, FLINS has been expanded to include research in both theoretical and practical development of computational intelligent systems.With this successful conference series: FLINS1994 and FLINS1996 in Mol, FLINS1998 in Antwerp, FLINS2000 in Bruges, FLINS2002 in Gent, FLINS2004 in Blankenberge, FLINS2006 in Genova, FLINS2008 in Marid, FLINS2010 in Chengdu, FLINS2012 in Istanbul, FLINS2014 in Juan Pesoa, FLINS2016 in Roubaix, FLINS2018 in Belfast and FLINS2020 in Cologne, FLINS2022 was organized by Nankai University, and co-organized by Southwest Jiaotong University, University of Technology Sydney and Ecole Nationale Supérieure des Arts et Industries Textiles of University of Lille. This unique international research collaboration has provided researchers with a platform to share and exchange ideas on state-of-art development in machine learning, multi agent and cyber physical systems.Following the wishes of Prof. Da Ruan, FLINS2022 offered an international platform that brought together mathematicians, computer scientists, and engineers who are actively involved in machine learning, intelligent systems, data analysis, knowledge engineering and their applications, to share their latest innovations and developments, exchange notes on the state-of-the-art research ideas, especially in the areas of industrial microgrids, intelligent wearable systems, sustainable development, logistics, supply chain and production optimization, evaluation systems and performance analysis, as well as risk and security management, that have now become part and parcel of Fuzzy Logic and Intelligent Technologies in Nuclear Science.This FLINS2022 Proceedings has selected 78 conference papers that cover the following seven areas of interests:

Machine Learning for Cyber Physical Systems

Author : Jürgen Beyerer
Publisher : Springer
ISBN 13 : 3662584859
Total Pages : 144 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Machine Learning for Cyber Physical Systems by : Jürgen Beyerer

Download or read book Machine Learning for Cyber Physical Systems written by Jürgen Beyerer and published by Springer. This book was released on 2018-12-17 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Machine Learning for Cyber Physical Systems

Author : Jürgen Beyerer
Publisher : Springer Nature
ISBN 13 : 3662627469
Total Pages : 130 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Machine Learning for Cyber Physical Systems by : Jürgen Beyerer

Download or read book Machine Learning for Cyber Physical Systems written by Jürgen Beyerer and published by Springer Nature. This book was released on 2020-12-23 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Machine Learning for Cyber-Physical Systems

Author : Oliver Niggemann
Publisher : Springer Nature
ISBN 13 : 3031470621
Total Pages : 132 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Machine Learning for Cyber-Physical Systems by : Oliver Niggemann

Download or read book Machine Learning for Cyber-Physical Systems written by Oliver Niggemann and published by Springer Nature. This book was released on 2024 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber- Physical Systems, which was held in Hamburg (Germany), March 29th to 31st, 2023. Cyber-Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. The Editors Prof. Dr. Oliver Niggemann held the professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo (Germany) from 2008 to 2019 and was also deputy head of the Fraunhofer IOSB-INA until 2019. In 2019, he took over the university professorship "Computer Science in Mechanical Engineering" at the Helmut Schmidt University in Hamburg. His research at the Institute for Automation Technology is in the field of artificial intelligence and machine learning for cyber-physical systems. Prof. Dr.-Ing. Jürgen Beyerer is a full professor for informatics at the Institute for Anthropomatics and Robotics at the Karlsruhe Institute of Technology KIT and director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. Research interests include automated visual inspection, signal and image processing, active vision, metrology, information theory, fusion of data and information from heterogeneous sources, system theory, autonomous systems and automation. Dr. Maria Krantz is a Postdoc at the Helmut Schmidt University in Hamburg. Her main research interests are causality in Cyber-Physical Systems and applications of diagnosis algorithms in production systems. Dr. Christian Kühnert is senior scientist at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. His research interests are in the field of machine-learning, data-fusion and data analytics for cyber-physical systems

Multi-Agent Systems

Author : Dorothea Baumeister
Publisher : Springer Nature
ISBN 13 : 3031206142
Total Pages : 462 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Multi-Agent Systems by : Dorothea Baumeister

Download or read book Multi-Agent Systems written by Dorothea Baumeister and published by Springer Nature. This book was released on 2022-12-10 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly refereed and revised selected papers from the proceedings of 19th European Conference on Multi-Agent Systems, EUMAS 2022, held in Düsseldorf, Germany, during September 14–16, 2022. The 23 full papers included in this book were carefully reviewed and selected from 36 submissions. The book also contains 6 short summaries of talks from PhD students at the PhD day. The papers deal with current topics in the research and development of multi-agent systems.

Machine Learning for Cyber Physical Systems

Author : Jürgen Beyerer
Publisher : Springer
ISBN 13 : 3662538067
Total Pages : 76 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Machine Learning for Cyber Physical Systems by : Jürgen Beyerer

Download or read book Machine Learning for Cyber Physical Systems written by Jürgen Beyerer and published by Springer. This book was released on 2016-11-25 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Machine Learning for Cyber Physical Systems

Author : Oliver Niggemann
Publisher : Springer
ISBN 13 : 3662488388
Total Pages : 124 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Machine Learning for Cyber Physical Systems by : Oliver Niggemann

Download or read book Machine Learning for Cyber Physical Systems written by Oliver Niggemann and published by Springer. This book was released on 2016-02-19 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Author : Luhach, Ashish Kumar
Publisher : IGI Global
ISBN 13 : 1799851028
Total Pages : 392 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Artificial Intelligence Paradigms for Smart Cyber-Physical Systems by : Luhach, Ashish Kumar

Download or read book Artificial Intelligence Paradigms for Smart Cyber-Physical Systems written by Luhach, Ashish Kumar and published by IGI Global. This book was released on 2020-11-13 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.

Software Verification and Formal Methods for ML-Enabled Autonomous Systems

Author : Omri Isac
Publisher : Springer Nature
ISBN 13 : 3031212223
Total Pages : 213 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Software Verification and Formal Methods for ML-Enabled Autonomous Systems by : Omri Isac

Download or read book Software Verification and Formal Methods for ML-Enabled Autonomous Systems written by Omri Isac and published by Springer Nature. This book was released on 2022-12-15 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th International Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022. The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methods techniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabled autonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine learning components.

Machine Learning for Cyber Physical Systems

Author : Oliver Niggemann
Publisher :
ISBN 13 : 9781013270789
Total Pages : 142 pages
Book Rating : 4.2/5 (77 download)

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Book Synopsis Machine Learning for Cyber Physical Systems by : Oliver Niggemann

Download or read book Machine Learning for Cyber Physical Systems written by Oliver Niggemann and published by . This book was released on 2020-10-08 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Machine Learning and Knowledge Discovery in Databases

Author : Massih-Reza Amini
Publisher : Springer Nature
ISBN 13 : 3031264126
Total Pages : 680 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Massih-Reza Amini

Download or read book Machine Learning and Knowledge Discovery in Databases written by Massih-Reza Amini and published by Springer Nature. This book was released on 2023-03-16 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.

Machine Learning and Knowledge Discovery in Databases

Author : Massih-Reza Amini
Publisher : Springer Nature
ISBN 13 : 3031263871
Total Pages : 768 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Massih-Reza Amini

Download or read book Machine Learning and Knowledge Discovery in Databases written by Massih-Reza Amini and published by Springer Nature. This book was released on 2023-03-16 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.

Highlights in Practical Applications of Agents, Multi-agent Systems, and Complex Systems Simulation

Author : Alfonso Gonzalez Briones
Publisher :
ISBN 13 : 9788303118691
Total Pages : 0 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Highlights in Practical Applications of Agents, Multi-agent Systems, and Complex Systems Simulation by : Alfonso Gonzalez Briones

Download or read book Highlights in Practical Applications of Agents, Multi-agent Systems, and Complex Systems Simulation written by Alfonso Gonzalez Briones and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the workshops co-located with the 20th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2022, held in L'Aquila, Italy, in July 2022. The total of 25 full papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers in this volume stem from the following meetings: Workshop on Artificial Intelligence for Industry (AI4Industry); Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA); Workshop on Character Computing (C2); Workshop on Deep Learning Applications (DeLA); Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI); Workshop on Multi-agent based Applications for Modern Energy Markets, Smart Grids and Future Power Systems (MASGES).

Machine Learning for Cyber Security

Author : Yuan Xu
Publisher : Springer Nature
ISBN 13 : 3031201027
Total Pages : 707 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning for Cyber Security by : Yuan Xu

Download or read book Machine Learning for Cyber Security written by Yuan Xu and published by Springer Nature. This book was released on 2023-01-12 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.

Machine Learning and Knowledge Discovery in Databases

Author : Massih-Reza Amini
Publisher : Springer Nature
ISBN 13 : 3031264223
Total Pages : 712 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Massih-Reza Amini

Download or read book Machine Learning and Knowledge Discovery in Databases written by Massih-Reza Amini and published by Springer Nature. This book was released on 2023-03-17 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.

Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media

Author : Cyril Onwubiko
Publisher : Springer Nature
ISBN 13 : 9811964149
Total Pages : 476 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media by : Cyril Onwubiko

Download or read book Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media written by Cyril Onwubiko and published by Springer Nature. This book was released on 2023-03-07 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights advances in Cyber Security, Cyber Situational Awareness (CyberSA), Artificial Intelligence (AI) and Social Media. It brings together original discussions, ideas, concepts and outcomes from research and innovation from multidisciplinary experts. It offers topical, timely and emerging original innovations and research results in cyber situational awareness, security analytics, cyber physical systems, blockchain technologies, machine learning, social media and wearables, protection of online digital service, cyber incident response, containment, control, and countermeasures (CIRC3). The theme of Cyber Science 2022 is Ethical and Responsible use of AI. Includes original contributions advancing research in Artificial Intelligence, Machine Learning, Blockchain, Cyber Security, Social Media, Cyber Incident Response & Cyber Insurance. Chapters “Municipal Cybersecurity—A Neglected Research Area? A Survey of Current Research", "The Transnational Dimension of Cybersecurity: The NIS Directive and its Jurisdictional Challenges" and "Refining the Mandatory Cybersecurity Incident Reporting under the NIS Directive 2.0: Event Types and Reporting Processes” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Real-Time Applications of Machine Learning in Cyber-Physical Systems

Author : Easwaran, Balamurugan
Publisher : IGI Global
ISBN 13 : 1799893103
Total Pages : 307 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Real-Time Applications of Machine Learning in Cyber-Physical Systems by : Easwaran, Balamurugan

Download or read book Real-Time Applications of Machine Learning in Cyber-Physical Systems written by Easwaran, Balamurugan and published by IGI Global. This book was released on 2022-03-11 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater control and freedom. CPS domains have great societal significance, providing crucial assistance in industries ranging from security to healthcare. At the same time, machine learning (ML) algorithms are known for being substantially efficient, high performing, and have become a real standard due to greater accessibility, and now more than ever, multidisciplinary applications of ML for CPS have become a necessity to help uncover constructive solutions for real-world problems. Real-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems. Covering topics like intrusion detection systems, predictive maintenance, and seizure prediction, this book is an essential resource for researchers, machine learning professionals, independent researchers, scholars, scientists, libraries, and academicians.