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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9-13, ... (Lecture Notes in Artificial Intelligence)
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: First International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, ... (Lecture Notes in Artificial Intelligence)
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9-13, ... (Lecture Notes in Artificial Intelligence)
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: First International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, ... (Lecture Notes in Artificial Intelligence)
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9-13, ... (Lecture Notes in Artificial Intelligence)
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: First International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, ... (Lecture Notes in Artificial Intelligence)
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9?13, . (Lecture Notes in Artificial Intelligence)
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications (Explainable AI (XAI) for Engineering Applications)
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EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR AUTONOMOUS VEHICLES
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Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
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Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
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Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications (Explainable AI (XAI) for Engineering Applications)
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications (Explainable AI (XAI) for Engineering Applications)
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications (Explainable AI (XAI) for Engineering Applications)
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Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications (Explainable AI (XAI) for Engineering Applications)
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications
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Aggiungi al carrelloHardcover. Condizione: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock.
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9?13, . (Lecture Notes in Artificial Intelligence)
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9?13, . (Lecture Notes in Artificial Intelligence)
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Explainable Artificial Intelligence for Autonomous Vehicles
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance.This book:Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems.Showcases challenges such as integration with existing systems, privacy, and security concerns while implementing explainable artificial intelligence in autonomous vehicles.Covers explainable artificial intelligence for resource management, optimization, adaptive control, and decision-making.Explains important topics such as vehicle-to-vehicle (V2V) communication, vehicle-to-infrastructure (V2I) communication, remote monitoring, and control.Emphasizes enhancing safety, reliability, overall system performance, and improving user trust in autonomous vehicles.The book is intended to provide researchers, engineers, and practitioners with a comprehensive understanding of XAI's key concepts, challenges, and applications in the context of autonomous vehicles. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering. 206 pp. Englisch.
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Explainable Artificial Intelligence for Autonomous Vehicles
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Explainable Artificial Intelligence for Autonomous Vehicles
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications (Explainable AI (XAI) for Engineering Applications)
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Kamal Malik is currently working as a Professor in CSE in the School of Engineering and Technology at CTU Ludhiana, Punjab, India. She has published Scientific Research Publications in reputed International Journals, including SCI and Scopus index.
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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications
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Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance.This book:Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems.Showcases challenges such as integration with existing systems, privacy, and security concerns while implementing explainable artificial intelligence in autonomous vehicles.Covers explainable artificial intelligence for resource management, optimization, adaptive control, and decision-making.Explains important topics such as vehicle-to-vehicle (V2V) communication, vehicle-to-infrastructure (V2I) communication, remote monitoring, and control.Emphasizes enhancing safety, reliability, overall system performance, and improving user trust in autonomous vehicles.The book is intended to provide researchers, engineers, and practitioners with a comprehensive understanding of XAI's key concepts, challenges, and applications in the context of autonomous vehicles. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering.
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Explainable Artificial Intelligence for Autonomous Vehicles | Concepts, Challenges, and Applications
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Aggiungi al carrelloBuch. Condizione: Neu. Explainable Artificial Intelligence for Autonomous Vehicles | Concepts, Challenges, and Applications | Kamal Malik (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | CRC Press | EAN 9781032655017 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
