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Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Published by Editions Notre Savoir, 2025
ISBN 10: 6209002420 ISBN 13: 9786209002427
Language: French
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Published by Springer Nature Singapore, 2023
ISBN 10: 9811699658 ISBN 13: 9789811699658
Language: English
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Add to basketCondition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer International Publishing, 2022
ISBN 10: 303118291X ISBN 13: 9783031182914
Language: English
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Published by Springer International Publishing, 2023
ISBN 10: 3031182944 ISBN 13: 9783031182945
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.
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Hardcover. Condition: Brand New. 182 pages. 10.00x7.00x0.75 inches. In Stock.
Published by Wydawnictwo Nasza Wiedza, 2025
ISBN 10: 6209002447 ISBN 13: 9786209002441
Language: Polish
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Published by Edições Nosso Conhecimento, 2025
ISBN 10: 6209002390 ISBN 13: 9786209002397
Language: Portuguese
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