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

Subhas Mukhopadhyay

ISBN 10: 3031686012 / ISBN 13: 9783031686016

Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 practitionersin 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.

Seller Inventory # 9783031686016

Bibliographic Details

• Title: IoT Sensors, ML, AI and XAI: Empowering A Smarter World
• Publisher: Springer Nature Switzerland, Springer Nature Switzerland
• Publication Date: 2024
• Language: English
• ISBN 10: 3031686012
• ISBN 13: 9783031686016
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 31D millimeters 241 millimeters width by 160 millimeters height by 31 millimeters depth
• Weight: 988 grams

About this title

Synopsis

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.