Intelligent Sustainable Systems

Chapter 1. Lung Ultrasound Covid-19 Detection using Deep Feature Recursive Neural Network.- Chapter 2. Predicting New York Taxi Trip Duration based on Regression Analysis using ML and Time Series Forecasting using DL.- Chapter 3. Implementation of Classical Error Control Codes for Memory Storage Systems using VERILOG.- Chapter 4. Parkinson's Disease Detection using Machine Learning.- Chapter 5. Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India.- Chapter 6. The Concept of a Digital Marketing Communication Model for Higher Education Institutions.- Chapter 7. A Lightweight Image Colorization Model based on U-Net Architecture.- Chapter 8. Comparative Analysis of Obesity Level Estimation based on Life-Style using Machine Learning.- Chapter 9. An empirical Study on Millennials' Adoption of Mobile Wallets.- Chapter 10. AIoT Based Smart Mirror.- Chapter 11. AI Assisted College Recommendation System.- Chapter 12. An Agent-based Model to Predict the Emergence of Student Protests in Public Higher Education Institution.- Chapter 13. High Accuracy for Hyperspectral Image Classification using Hybrid Spectral 3-D-2-D CNN.- Chapter 14. Design Smart Curtain Using Light Dependent Resistor.- Chapter 15. Machine Learning Assisted Binary and Multiclass Parkinson's Disease Detection. etc.

Dr. Jennifer S Raj received the Ph.D. degree from Anna University and Master's Degree in communication System from SRM University, India. Currently, she is working in the Department of ECE, Gnanamani College of Technology, Namakkal, India. She is Life Member of ISTE, India. She has been serving as Organizing Chair and Program Chair of several international conferences, and in the Program Committees of several international conferences. She is book reviewer for Tata McGraw-Hill Publication and publishes more than fifty research articles in the journals and IEEE conferences. Her interests are in wireless healthcare informatics and body area sensor networks.





Dr. Yong Shi is currently working as Associate/Tenured Professor of Computer Science, Kennesaw State University and Director/Coordinator of the Master of Computer Science. He is responsible for directing the Master of Computer Science Program, reviewing applications for the Master of Computer Science. He haspublished more than 50 articles in national and international journals. He acted as an editor, reviewer, editorial board member, and program committee member in many reputed journals and conferences. His research interest includes Cloud Computing, Big Data, and Cybersecurity.





Danilo Pelusi received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. He is Associate Professor at the Department of Communication Sciences, University of Teramo. Co-editor of books in Springer and Elsevier, he is/was Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access and International Journal of Machine Learning and Cybernetics. Guest editor for Elsevier, Springer, and Inderscience journals and keynote speaker in several conference, he belongs to the editorial board member of many journals. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks