ISBN:
9783030901196
Language:
English
Pages:
1 Online-Ressource(XXIV, 329 p. 138 illus., 117 illus. in color.)
Edition:
1st ed. 2022.
Series Statement:
Intelligent Systems Reference Library 215
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Computational intelligence.
;
Cooperating objects (Computer systems).
;
Engineering—Data processing.
;
Machine learning.
;
Big data.
Abstract:
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.
Abstract:
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.
DOI:
10.1007/978-3-030-90119-6
