Название: Explainable IoT Applications: A Demystification
Автор: Sachi Nandan Mohanty, Suneeta Satpathy, Xiaochun Cheng, Subhendu Kumar Pani
Издательство: Springer
Год: 2025
Страниц: 480
Язык: английский
Формат: pdf (true)
Размер: 21.2 MB
Explainable IoT Application: A Demystification is an in-depth guide that examines the intersection of the Internet of Things (IoT) with AI and Machine Learning, focusing on the crucial need for transparency and interpretability in IoT systems. As IoT devices become more integrated into daily life, from smart homes to industrial automation, it is increasingly important to understand and trust the decisions they make. As the complexity of IoT applications continues to grow, so does the demand for clarity in how these intelligent systems operate and make decisions. Explainable IoT Applications: A Demystification embarks on a journey to unravel the intricacies of IoT and shed light on the often opaque processes governing smart devices. This book serves as a guide for both seasoned professionals and curious minds delving into the world of Explainable AI, Machine Learning, Deep Learning, blockchain, and cloud within the IoT landscape. The pages unfold a narrative that transcends the technical jargon, providing a comprehensive exploration of the fundamental principles, challenges, and breakthroughs in achieving explainability in IoT applications. From demystifying the inner workings of IoT architectures to dissecting the security considerations that underpin these systems, each chapter strives to empower readers with knowledge and insights that transcend the conventional boundaries of IoT comprehension.
