Future Perspectives in Data Analytics and IOT

e-ISBN : 978-93-6252-456-0
Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.
Volume : 3-2024

AIM & SCOPE

Data Analytics and IoT are two powerful technologies that are transforming the way we live and work. Together, they offer a unique opportunity to collect, analyze, and interpret vast amounts of data from connected devices, leading to valuable insights that can be used to improve efficiency, optimize processes, and make better decisions. Data analytics is the process of collecting, cleaning, and analyzing data to identify patterns and trends. It involves using a variety of statistical and machine learning techniques to extract meaningful insights from data. These insights can then be used to improve decision-making, optimize processes, and identify new opportunities. The Internet of Things (IoT) is a network of physical devices that are embedded with sensors, software, and actuators that enable them to collect and exchange data. These devices can range from simple sensors that track temperature and humidity to complex devices like smart home appliances and industrial machines. The unique feature of this book is it consists of research findings in the field of Data Analytics and IoT. This book consists of 13 papers. Each has several issues in the area of Data Analytics and IoT. It also consists of result findings from various applications such as health care, education and so on. This book helps the research scholars to know the state-of art of the work in these areas. It is our pleasure to acknowledge the tireless efforts of many scientists who contributed for the development of this book. We would specially place on record the help rendered by IIP Publishing house while writing this book. We are thankful to all the team members of publishing house, who are helping us in publishing this book. New suggestions, feedback and comments for further improvement for next edition will be highly appreciated

Chapter 1
MENTAL HEALTH TRACKER FOR MUTE COMMUNITY USING SIGN LANGUAGE
https://www.doi.org/10.58532/nbennurch130

Chapter 2
REEFVISTA: DEEP LEARNING-POWERED UNDERWATER CORAL REEF MONITORING
https://www.doi.org/10.58532/nbennurch131

Chapter 3
INDOOR NAVIGATION USING AR
https://www.doi.org/10.58532/nbennurch132

Chapter 4
EVALUATING THE AUTHENTICITY OF ONLINE REVIEWS: AN ADVANCED ANALYSIS APPROACH
https://www.doi.org/10.58532/nbennurch133

Chapter 5
ASCLEMEDCO AMELIORATION OF SELF - MEDICATION USING DATA ANALYSIS
https://www.doi.org/10.58532/nbennurch134

Chapter 6
FLUID INTELLIGENCE: MANAGING RESOURCES IN AI DEVELOPMENT
https://www.doi.org/10.58532/nbennurch135

Chapter 7
FQACHAIN: A SECURE AND TRANSPARENT FOOD SUPPLY CHAIN - LEVERAGING BLOCKCHAIN AND IOT FOR ENHANCED TRACEABILITY AND TRUST
https://www.doi.org/10.58532/nbennurch136

Chapter 8
COMPARISON OF INSERTION ALGORITHMS WITH DIFFERENT PROGRAMMING LANGUAGES ON MYSQL LOCALHOSTS
https://www.doi.org/10.58532/nbennurch137

Chapter 9
SOCIAL MEDIA ANALYSIS
https://www.doi.org/10.58532/nbennurch138

Chapter 10
ELECTRICITY METER READING AND LOAD DETECTOR USING IOT
https://www.doi.org/10.58532/nbennurch139

Chapter 11
SIGN GESTURE RECOGNITION USING DEEP LEARNING
https://www.doi.org/10.58532/nbennurch140

Chapter 12
MACHINE LEARNING APPLICATIONS
https://www.doi.org/10.58532/nbennurch141

Chapter 13
A SURVEY ON AMPHI WASTE MANAGEMENT
https://www.doi.org/10.58532/nbennurch142

EDITORIAL BOARD MEMBERS

Dr. Soma Prathibha,
Professor, Department of Information Technology,
Sri Sai Ram
Engineering College,
Chennai.

T Manju,
Assistant Professor,
Department of Information Technology,
Sri Sairam
Engineering College, Chennai,
India

C. Santhiya,
Assistant Professor,
Department of Computer Science and Engineering,
Madurai-15

Valarmathi V,
Assistant Professor,
Department of Information Technology,
Sri Sairam
Engineering College,
Chennai, India.