Intelligent Decision Support System for IoT-Enabling Technologies: Opportunities, Challenges and Applications

$230.00

Subrata Sahana, PhD – Associate Professor, Computer Science and Engineering, Sharda University, Greater Noida, India
Anil Kumar Sagar, PhD – Professor, Computer Science and Engineering, Sharda University, Greater Noida, India
Sanjoy Das, PhD – Indira Gandhi National Tribal University, Manipur, India
Vishal Jain, PhD – Associate Professor, Computer Science and Engineering, Sharda University, Greater Noida, U. P., India

Series: Internet of Things and Machine Learning; Engineering and Sustainable Development
BISAC: COM004000; COM025000; COM042000
DOI: https://doi.org/10.52305/QUGV2734

This book focuses on the Internet of Things (IoT) and Decision Support Systems to proffer preventive and intelligent systems. The major areas covered in this book are IoT challenges and opportunities, IoT-enabling technologies, decision support systems, smart applications, and intelligent systems to satisfy the goals of societal and economic issues.

This book includes various problems in healthcare, insurance, and agricultural sectors. Intelligent and IoT-based applications like healthcare systems, intelligent transportation systems, business intelligence, and artificial intelligence in sustainable agriculture are extensively discussed in various chapters. IoT and Machine Learning Applications for the industrial sector are also highlighted.

This book is most suitable for data scientists, doctors, engineers, economists, and specialists in the agricultural sector. This book will benefit the UG/PG and research scholars to understand various domains like agriculture, insurance, environment, and healthcare sectors with applications of IoT, machine learning, Artificial Intelligence etc.

Table of Contents

Preface

Chapter 1. IoT-Based Smart Agriculture: Enhancing Agricultural Practices with Robotics and Cloud Computing Applications
N. A. Prashanth and Madhu Palati
Department of Electrical and Electronics Engineering, BMS Institute of Technology and Management, Bengaluru, India

Chapter 2. The Impact of IoT on the Environment: A Descriptive Study in India
Archan Mitra1 and Sayani Das2
1School of Media Studies, Presidency University, Bangalore, India
2Guest Lecturer, Institute of Mass Communication, Film and Television Studies, Kolkata

Chapter 3. A Smart Internet of Things (IoT) Enabled Agricultural Farming System
Justin Joy1, PhD, V. L. Helen Josephine2, PhD, A. Angel3, B. Abisheakkumar4, Monica Seles5, ES and Rajan John6, PhD
1Assistant Professor, MBA Department, School of Business and Management, Kengeri Campus, Christ University, Bangalore, India
2Associate Professor, MBA Department, School of Business and Management, Kengeri Campus, Christ University, Bangalore, India
6Assistant Professor, College of Computer Science & Information Technology, Department of Computer Science, Jazan University, Jazan, Kingdom of Saudi Arabia

Chapter 4. IoT and Machine Learning Applications for Industrial Reliability Frameworks
Suneel Kumar Rath1, Madhusmita Sahu1 and Shom Prasad Das3
1Department of Computer Science and Engineering, C. V. Raman Global University, Bhubaneswar, Odisha
2Department of Computer Science and Engineering, Birla Global University, Bhubaneswar, Odisha

Chapter 5. An IoT-Enabled Model for COVID-19 Patient Healthcare
Sandeep Mathur1, Rajbala Simon2, Vinayak Vashistha2 and Yazdani Hasan3
1School of Science, Noida International University, Greater Noida, Uttar Pradesh, India
2Amity Institute of Information Technology, Amity University, Noida, Uttar Pradesh
3Manav Rachna University, School of Engineering and Technology, Haryana, India

Chapter 6. A Healthcare Revolution in Cross Domain Applications Using Advanced Computational Techniques
Ajay Sudhir Bale1, N. Vinay2, Asma Zabi2, E. Eshwar2 and Suhaas Veera Raghavan Reddy3
1Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India
2Department of Electronics and Communication Engineering, CMR University, Bengaluru, India
3Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands

Chapter 7. Predictive Analytics and Deep Learning Models for the Prediction of the Length of Stay, Diabetes, Colorectal Cancer and Cardiovascular Diseases in Patients
Arshpreet Kaur and Jagdeep Kaur
Computer Science and Engineering Department, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

Chapter 8. Wireless Sensor Network Based Crop-Growth Monitoring Using Derived-Parameters in an Intelligent Greenhouse
Suman Lata and H. K. Verma
Department of Electrical Electronics and Communication Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India

Chapter 9. Machine Learning-Based Google App Store Cataloging Using a Naive Bayes’ Algorithm
Jyothi Chinna Babu1, Nuka Mallikharjuna Rao2, Potala Venkata Subbaiah3,Khalaf Osamah Ibrahim4 and Ghaida Muttashar Abdulsahib5
1Department of Electronics and Communication Engineering, Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India
2Department of Computer Science and Applications, Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India
3Department of Marketing, GITAM School of Business at “Visakhapatnam Campus,” GITAM (Deemed to be University), India
4Al-Nahrain University, Al-Nahrain Nanorenewable Energy Research Center,  Baghdad, Iraq
5Department of Computer Engineering, University of Technology, Baghdad, Iraq

Chapter 10. Barriers to Digital Transformation: A Case Study of the Insurance Industry
Vijay Anant Athavale1 and Himanshu Jain2
1Walchand Institute of Technology, Solapur, Maharashtra, India
2Panipat Institute of Engineering & Technology, Panipat, Haryana, India

Chapter 11. An IoT-Based Intelligent Healthcare System for Diabetes Prediction
Navneet Verma and Sumit Kumar Rana
Department of Computer Science and Engineering, Panipat Institute of Engineering and Technology, Samalkha, Panipat, Haryana, India

Chapter 12. Technological Scrutiny on Energy-Harvested Wireless Sensors for IoMT Healthcare Systems
Bhanu Priyanka Valluri and Nitin Sharma
Department of Electronics and Communication Engineering, Chandigarh University, Gharuan, Punjab, India

Index

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