Agarwal Umesh (78 results)

Condition: New.

Condition: New. pp. 203.

Condition: New. pp. 203.

Condition: New. pp. 203.

Condition: New. pp. 144.

Hardcover. Condition: New. ISBN:9789358874013.

Hardcover. Condition: New. ISBN:9789358876208.

Condition: New. Print on Demand.

Hardcover. Condition: New. 1. Open and Short Circuit Test 2. Direct Loading Method 3. Sumpner s Test 4. Parallel Operation of Transformer 5. Different Connections of 3-Phase Transformer 6. Scott Connection of Transformers 7. Load Characteristics 8. Speed Control 9. Swinburne s Test 10. Single-Phase Induction Motor 11. 3-Phase Induction Motor 12. Load Test on Three Phase Induction Motor 13. To Draw V Curves of Synchronous Motor 14. 3-Point and 4-Point Starter.…

Hardcover. Condition: New. This book, titled "Power Systems with MATLAB," focuses on both the theoretical and practical aspects of power systems for undergraduate students studying Electrical Engineering. Electric Power System is a critical and intricate subject for students, and this book covers fundamental topics, such as line constant calculations, performance of lines, PU, faults, and MATLAB for Renewable energy. It also delves into more advanced topics like load flow studies in power systems. The book provides a wide range of electrical power system studies in one comprehensive resource, making it an excellent reference for students. The manual is written in a clear and concise manner, making it easy for students to use and understand MATLAB programs on power systems. The author has carefully considered the challenges students face in the laboratory and has prepared laboratory notes after consulting various books on electrical power systems. The book includes an extensive bibliography, which will help students locate detailed information on different topics of interest.…

Condition: New. In English.

Condition: New. PRINT ON DEMAND.

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.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. 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.…

Condition: new.

hardcover. Condition: Fine.

Paperback. Condition: Brand New. 182 pages. 6.14x0.46x9.21 inches. In Stock.

Condition: New. 2024. hardcover. . . . . .

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. 2024. hardcover. . . . . .

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

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.

Condition: New.

Condition: New.

Condition: New.

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 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.…