IoT Sensors, ML, AI and XAI: Empowering A Smarter World

Author:   Biswajeet Pradhan ,  Subhas Mukhopadhyay
Publisher:   Springer International Publishing AG
ISBN:  

9783031686047


Pages:   480
Publication Date:   25 October 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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IoT Sensors, ML, AI and XAI: Empowering A Smarter World


Overview

This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.

Full Product Details

Author:   Biswajeet Pradhan ,  Subhas Mukhopadhyay
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031686047


ISBN 10:   3031686047
Pages:   480
Publication Date:   25 October 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Sensors ML and AI for Real World Applications.- Flying IoT Sensor Fusion Performance Analysis for UAV Applications in Indoor Spaces.- Machine Learning Empowered IoT Devices Analysis of Indoor and Outdoor Temperature and Health Risks.- Identification of IoT devices through Machine Learning and hardware fingerprints based on clock skew.

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