Machine Learning: An Art of Computer Thinking
Buy Nowe-ISBN : 978-93-6252-429-4
Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.
Volume : 3-2024
AIM & SCOPE
I want to dedicate this book to my Parents since they have always supported my career objectives and actively tried to give me the protected academic time I needed to achieve those goals. This book is focused on current machine learning research issues that are giving the industry a practical way to design Internet of Things (IoT) solutions quickly. Machine learning algorithms allow for the speedy creation and development of IoT solutions by the industry. The Open IoT cloud platform can be used to create large-scale applications.However, when using this design, there are concerns with energy efficiency, sensing data quality, network resource utilization, and latency. The focus of this special issue is on machine learning, data analytics, and optimization in IoT applications, with a focus on processing power constraints and optimization problems in industrial informatics.
Chapter 1
5G AND NETWORK SLICING TECHNOLOGY
https://www.doi.org/10.58532/nbennurch174
Chapter 2
A STUDENT PERFORMANCE PREDICTION APPROACH USING MACHINE LEARNING
https://www.doi.org/10.58532/nbennurch175
Chapter 3
HUMAN MACHINE INTERACTION
https://www.doi.org/10.58532/nbennurch176
Chapter 4
IOT BASED SOIL MOISTURE MONITORING AND CONTROL SYSTEM
https://www.doi.org/10.58532/nbennurch177
Chapter 5
REVIEW OF VARIOUS APPLICATION OF IOT USING MACHINE LEARNING
https://www.doi.org/10.58532/nbennurch178
Chapter 6
A NOVEL APPROACH TO DETECT SENTIMENTS BASED ON SOCIAL MEDIA USING MACHINE LEARNING
https://www.doi.org/10.58532/nbennurch179
Chapter 7
STUDY OF INNOVATIVE DEEP LEARNING ARCHITECTURES/ALGORITHMS FOR TIME SERIES DATA AND IOT
https://www.doi.org/10.58532/nbennurch180
Chapter 8
FRAUD DETECTION OF CREDIT CARD USERS IN THE BANKINGSYSTEM USING A RANDOM FOREST AND ANN DEEP LEARNING MODEL: A REVIEW
https://www.doi.org/10.58532/nbennurch181
Chapter 9
APPLICATION OF DEEP LEARNING-BASED TECHNIQUES FOR PRECISION AGRICULTURE
https://www.doi.org/10.58532/nbennurch182
Chapter 10
OVERVIEW: MACHINE LEARNING
https://www.doi.org/10.58532/nbennurch183
Chapter 11
A REVIEW PAPER ON SELF-DRIVING CAR USING MACHINELEARNING AND ARTIFICIAL INTELLIGENCE
https://www.doi.org/10.58532/nbennurch184
Chapter 12
LOAD BALANCING TECHNIQUES IN CLOUD COMPUTING ENVIRONMENT
https://www.doi.org/10.58532/nbennurch185
Chapter 13
IN A CLOUD COMPUTING ENVIRONMENT, A SECURE MULTI-TIER AUTHENTICA
https://www.doi.org/10.58532/nbennurch186
Chapter 14
SMART DATA
https://www.doi.org/10.58532/nbennurch187
Chapter 15
CYBER-PHYSICAL SYSTEMS
https://www.doi.org/10.58532/nbennurch188
EDITORIAL BOARD MEMBERS
Mrs. Shuchita Mudgil,
Sr. lecturer (Dept of Information Technology) at Government
Kalaniketan Polytechnic College in Jabalpur,
Madhya Pradesh (affiliated to Rajiv Gandhi Prodyogiki Vishawavidyalaya, AICTE), India.
Dr.Sapna Jain Choudhary,
Associate professor,
P.G Head of Computer Science and Engineering,
Shri Ram Group of Institutions,
Jabalpur, Madhya Pradesh, India.
Prof. Shiv Kumar Tiwari,
Assistant Professor,
Department of Computer Science and Engineering at Gyan Ganga College of Technology,
Jabalpur, Madhya Pradesh, India.
