Intelligent Sustainable Systems

Proceedings of ICISS 2021
1. Auflage 2022
ISBN: 978-981-16-2421-6
Verlag: Springer Nature Singapore

Buch, Englisch, Band 213, 847 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1305 g

Reihe: Lecture Notes in Networks and Systems

This book features research papers presented at the 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 26–27, 2021. The book discusses the latest research works that discuss the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.

Zielgruppe

Research

Autoren/Hrsg.

Raj, Jennifer S.

Shi, Yong

Palanisamy, Ram

Perikos, Isidoros

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Chapter 1. Deep Learning based Approach for Parkinson’s Disease Detection using Region of Interest.- Chapter 2. Classification of Class Imbalanced Diabetic Retinopathy Images using the Synthetic Data Creation by Generative Models.- Chapter 3. A Novel Leaf-fragment Dataset and ResNet for Small-scale Image Analysis.- Chapter 4. Prediction of Covid 19 Cases based on Weather Parameters.- Chapter 5. CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network.- Chapter 6. Performance Evaluation of Hierarchical Clustering Protocols in WSN using MATLAB.- Chapter 7. Speech Recognition using Artificial Neural Network.- Chapter 8. Multi-Objective Optimization for Dimension Reduction for Large Datasets.- Chapter 9. Modified Leader Algorithm for Under-sampling the Imbalanced Dataset for Classification.- Chapter 10. Weather Divergence of Season Through Regression Analytics.- Chapter 11. A Case Study of Energy Audit in Hospital.- Chapter 12. The Comparison Analysis of Cluster and Non- Cluster Based Routing Protocols for WAPMS (Wireless Air Pollution Monitoring System).- Chapter 13. Frequent Itemset Mining Algorithms–A Literature Survey.- Chapter 14. Impact of Segmentation Techniques for Condition Monitoring of Electrical Equipments from Thermal Images.- Chapter 15. A Detailed Survey Study on Various Issues and Techniques for Security and Privacy of Healthcare Records.

Über Autor(innen)

Dr. Jennifer S Raj received 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 a life member of ISTE, India. She has been serving as an organizing chair and a program chair of several international conferences and in the program committees of several international conferences. She is a book reviewer for Tata McGraw hill publication and publishes more than fifty research articles in journals and IEEE conferences. Her interests are in wireless healthcare informatics and body area sensor networks.



Prof. Ram Palanisamy is a professor of enterprise systems in the Business Administration Department at the Gerald Schwartz School of Business, St. Francis Xavier University. Dr. Palanisamy teaches courses on Foundations of Business Information Technology, Enterprise Systems using SAP, Systems Analysis and Design, SAP Implementation, Database Management Systems, and Electronic Business (Mobile Commerce). Before joining StFX, he taught courses in management at the Wayne State University (Detroit, USA), Universiti Telekom (Malaysia), and National Institute of Technology (NITT), Deemed University, India. His research interest includes enterprise systems (ES) implementation; ES acquisition; ES flexibility and ES success; knowledge management systems; and healthcare inter-professional collaboration.



Dr. Isidoros Perikos completed his Ph.D. in Computer Engineering and Informatics, Computer Engineering and Informatics Department at the University of Patras, Greece (2016), and M.Sc. in Computer Science and Technology, Computer Engineering and Informatics Department at University of Patras (2010). He has completed Engineering Diploma (five-year program, M. Eng.) in Computer Engineering and Informatics, Computer Engineering and Informatics Department at University of Patras (2008). His research interest includes semantic web and ontology engineering, web intelligence, natural language processing and understanding, human–computer interaction, and affective computing robotics. He has published in national and international journals and conferences.



Dr. Yong Shi is currently working as an associate/tenured professor of computer science, Kennesaw State University, and a 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 has published more than 50 articles in national and international journals. He acted as an editor, a reviewer, an editorial board member, and a program committee member in many reputed journals and conferences. His research interest includes cloud computing, big data, and cybersecurity.