Explainable Artificial Intelligence Autonomous (38 results)

- Softcover
- International Edition
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

- Softcover
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- Softcover
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- Softcover
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- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
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- Softcover
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- Softcover
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- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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- Softcover
- International Edition
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be print…ed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

- Hardcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
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hardcover. Condition: Fine.

Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 182 pages. 6.14x0.46x9.21 inches. In Stock.

- Softcover
Seller: SMASS Sellers, IRVING, TX, U.S.A.SMASS Sellers
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Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.

Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
Malik, Kamal (EDT); Sharma, Moolchand (EDT); Deswal, Suman (EDT); Gupta, Umesh (EDT); Agarwal, Deevyankar (EDT)
- Hardcover
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. 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.

Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
Malik, Kamal (EDT); Sharma, Moolchand (EDT); Deswal, Suman (EDT); Gupta, Umesh (EDT); Agarwal, Deevyankar (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
Malik, Kamal (EDT); Sharma, Moolchand (EDT); Deswal, Suman (EDT); Gupta, Umesh (EDT); Agarwal, Deevyankar (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.

Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
Malik, Kamal (EDT); Sharma, Moolchand (EDT); Deswal, Suman (EDT); Gupta, Umesh (EDT); Agarwal, Deevyankar (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 117.61
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Condition: New. In.

- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 132.41
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Condition: New. 1st edition NO-PA16APR2015-KAP.

- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 133.34
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Condition: New.

Explainable Artificial Intelligence for Autonomous Vehicles : Concepts, Challenges, and Applications
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 93.50
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Taschenbuch. Condition: Neu. 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 autonomo…us 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.

Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 16.90
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Condition: New.

- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 159.28
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Hardcover. Condition: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock.

- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 67.86
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Condition: New. Print on Demand pp. 150.

- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 36.49
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Paperback. Condition: new. Paperback. 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 autonomou…s 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. The book "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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.