Computer Science > eBook[PDF] > (eBook-PDF) Explainable IoT Applications: A Demystification | ISBN: 9783031748844 and 3031748840 and (All)

(eBook-PDF) Explainable IoT Applications: A Demystification | ISBN: 9783031748844 and 3031748840 and eText ISBN: 9783031748851 by Sachi Nandan Mohanty, Suneeta Satpathy, Xiaochun Cheng, Subhendu Kumar Pani | 2025

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This high-quality PDF is available with Print ISBN: 9783031748844 and 3031748840 and eText ISBN: 9783031748851 and 3031748859. This comprehensive volume delves into the integration of Explainable Artificial Intelligence (XAI) within Internet of Things (IoT) applications, emphasizing the importance of transparency and interpretability in modern interconnected systems. As IoT devices become increasingly embedded in various sectors—ranging from smart homes and healthcare to industrial automation—the need to understand and trust their decision-making processes becomes paramount. The book begins by outlining the fundamentals of IoT, highlighting its significance in contemporary technology and its diverse applications across multiple domains. It then explores the concept of explainability, addressing the challenges posed by opaque, black-box operations in AI-driven IoT systems. Through detailed discussions, the authors present various techniques and methodologies for achieving explainability, including rule-based systems and machine learning models, while also examining the balance between performance and interpretability. Practical examples are provided to demonstrate the successful implementation of explainability in IoT applications, such as in smart healthcare systems. Additionally, the book tackles the critical issue of securing IoT systems in an increasingly connected world, examining vulnerabilities like data breaches, cyberattacks, and privacy concerns, and proposing strategies to manage these risks effectively. Concluding with a comprehensive exploration of the challenges and opportunities in making IoT systems more transparent and interpretable, this book offers valuable insights for researchers, developers, and decision-makers aiming to create trustworthy and understandable IoT applications. This 1st edition is categorized under Computer Science and Information Technology. ✅ Lifetime Access | ✅ Instant Download | ✅ Interactive PDF

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