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IoT sensors, ML, AI and XAI = empowering a smarter world /

Record Type:	Electronic resources : Monograph/item
Title/Author:	IoT sensors, ML, AI and XAI/ edited by Biswajeet Pradhan, Subhas Mukhopadhyay.
Reminder of title:	empowering a smarter world /
other author:	Mukhopadhyay, Subhas.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xi, 480 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Internet of things. -
Online resource:	https://doi.org/10.1007/978-3-031-68602-3
ISBN:	9783031686023

IoT sensors, ML, AI and XAI = empowering a smarter world /
IoT sensors, ML, AI and XAIempowering a smarter world /[electronic resource] :edited by Biswajeet Pradhan, Subhas Mukhopadhyay. - Cham :Springer Nature Switzerland :2024. - xi, 480 p. :ill. (some col.), digital ;24 cm. - Smart sensors, measurement and instrumentation,v. 502194-8410 ;. - Smart sensors, measurement and instrumentation ;v. 50..

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.

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.

ISBN: 9783031686023

Standard No.: 10.1007/978-3-031-68602-3doiSubjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

IoT sensors, ML, AI and XAI = empowering a smarter world /
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245 0 0 $a IoT sensors, ML, AI and XAI $h [electronic resource] : $b empowering a smarter world / $c edited by Biswajeet Pradhan, Subhas Mukhopadhyay.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xi, 480 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Smart sensors, measurement and instrumentation, $x 2194-8410 ; $v v. 50
505 0 $a 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.
520 $a 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.
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650 0 $a Machine learning. $3 533906
650 0 $a Artificial intelligence. $3 516317
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650 2 4 $a Internet of Things. $3 3538511
650 2 4 $a Sensors and biosensors. $3 3591877
650 2 4 $a Mechatronics. $3 737861
700 1 $a Mukhopadhyay, Subhas. $3 3733634
700 1 $a Pradhan, Biswajeet. $3 1569713
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)