e-ISBN : 978-93-6252-456-0Publisher : 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 1MENTAL HEALTH TRACKER FOR MUTE COMMUNITY USING SIGN LANGUAGEhttps://www.doi.org/10.58532/nbennurch130
Chapter 2REEFVISTA: DEEP LEARNING-POWERED UNDERWATER CORAL REEF MONITORINGhttps://www.doi.org/10.58532/nbennurch131
Chapter 3INDOOR NAVIGATION USING ARhttps://www.doi.org/10.58532/nbennurch132
Chapter 4EVALUATING THE AUTHENTICITY OF ONLINE REVIEWS: AN ADVANCED ANALYSIS APPROACHhttps://www.doi.org/10.58532/nbennurch133
Chapter 5ASCLEMEDCO AMELIORATION OF SELF - MEDICATION USING DATA ANALYSIShttps://www.doi.org/10.58532/nbennurch134
Chapter 6FLUID INTELLIGENCE: MANAGING RESOURCES IN AI DEVELOPMENThttps://www.doi.org/10.58532/nbennurch135
Chapter 7FQACHAIN: A SECURE AND TRANSPARENT FOOD SUPPLY CHAIN - LEVERAGING BLOCKCHAIN AND IOT FOR ENHANCED TRACEABILITY AND TRUSThttps://www.doi.org/10.58532/nbennurch136
Chapter 8COMPARISON OF INSERTION ALGORITHMS WITH DIFFERENT PROGRAMMING LANGUAGES ON MYSQL LOCALHOSTShttps://www.doi.org/10.58532/nbennurch137
Chapter 9SOCIAL MEDIA ANALYSIShttps://www.doi.org/10.58532/nbennurch138
Chapter 10ELECTRICITY METER READING AND LOAD DETECTOR USING IOThttps://www.doi.org/10.58532/nbennurch139
Chapter 11SIGN GESTURE RECOGNITION USING DEEP LEARNINGhttps://www.doi.org/10.58532/nbennurch140
Chapter 12MACHINE LEARNING APPLICATIONShttps://www.doi.org/10.58532/nbennurch141
Chapter 13A SURVEY ON AMPHI WASTE MANAGEMENThttps://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.