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Recent Advances in Internet of Things and Machine Learning = Real-World Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Recent Advances in Internet of Things and Machine Learning/ edited by Valentina E. Balas, Vijender Kumar Solanki, Raghvendra Kumar.
Reminder of title:	Real-World Applications /
other author:	Balas, Valentina E.
Description:	XXIV, 329 p. 138 illus., 117 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-90119-6
ISBN:	9783030901196

Recent Advances in Internet of Things and Machine Learning = Real-World Applications /
Recent Advances in Internet of Things and Machine LearningReal-World Applications /[electronic resource] :edited by Valentina E. Balas, Vijender Kumar Solanki, Raghvendra Kumar. - 1st ed. 2022. - XXIV, 329 p. 138 illus., 117 illus. in color.online resource. - Intelligent Systems Reference Library,2151868-4408 ;. - Intelligent Systems Reference Library,67.

Concentration Level of Learner Using Facial Expressions On E-Learning Platform Using IoT-Based Pycharm Device -- IoT-based Machine learning system for Nutritional Ingredient Analyzer for Food -- A Secured Manhole Management System Using IoT and Machine Learning.

This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

ISBN: 9783030901196

Standard No.: 10.1007/978-3-030-90119-6doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Recent Advances in Internet of Things and Machine Learning = Real-World Applications /
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