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Recent Advances in Internet of Things and Machine Learning

INTLLGNT SYS REF LIB: RECENT ADV INTRNT THNGS MCHN LRNG

Information Technology

Computing & Information Technology

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

<P>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.                                                    </P>

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Other Frontmatter.
Other Frontmatter.
Title Page.
Copyright Page.
Preface.
About This Book.
Contents.
About the Editors.
1: Internet of Things.
2: Concentration Level of Learner Using Facial Expressions on e-Learning Platform Using IoT-Based Pycharm Device.
3: IoT-Based Machine Learning System for Nutritional Ingredient Analyzer for Food.
4: A Secured Manhole Management System Using IoT and Machine Learning.
5: Internet of Things Based Smart Accident Recognition and Rescue System Using Deep Forests ML Algorithm.
6: Revolutionizing the Industrial Internet of Things Using Blockchain: An Unified Approach.
7: Attacks and Countermeasures in IoT Based Smart Healthcare Applications.
8: Machine Learning.
9: Online Product Review Monitoring System Using Machine Learning.
10: Deep Learning Analysis for COVID 19 Using Neural Network Algorithms.
11: A Machine Learning Approach to Design and Develop a BEACON Device for Women&#x2019;s Safety.
12: Tea Plant Leaf Disease Identification Using Hybrid Filter and Support Vector Machine Classifier Technique.
13: Machine Learning Based Efficient and Secured Car Parking System.
14: Machine Learning Approaches for Smart City Applications: Emergence, Challenges and Opportunities.
15: Machine Learning and Deep Learning Models for Privacy Management and Data Analysis in Smart Cites.
16: Applications.
17: FPGA Based Implementation of Brent Kung Parallel Prefix Adder.
18: Vehicle Entry Management System Using Image Processing.
19: A Non-negative Matrix Factorization for IVUS Image Classification Using Various Kernels of SVM.
20: Novel Approach to Monitor the Respiratory Rate for Asthma Patients.
21: Representation of Boolean Function as a Planar Graph to Reduce the Cost of a Circuit.
22: A Man Power Model Forthree Grade System with Univariate Policy of Recruitment Using Geometric Process for Inter Decision Times.
23: Denial of Service Attack in Wireless Sensor Networks.
24: Android Application for Business Expense Management.
25: Student Perception Regarding Chatbot for Counselling in Higher Education.
26: Empirical Performance Evaluation of Machine Learning based DDoS Attack Detections.
27: Towards Remote Deployment for Intrusion Detection System to IoT Edge Devices.
28: A Real-Time Evaluation Framework For Machine Learning-Based IDS.

Recent Advances in Internet of Things and Machine Learning.css-1p8rvzy{position:absolute;padding-left:8px;}

Recent Advances in Internet of Things and Machine Learning