Inventive Communication and Computational Technologies (eBook, PDF)

Proceedings of ICICCT 2024
Redaktion: Ranganathan, G.; Shi, Yong; Papakostas, George A.

• Format: PDF

Produktbeschreibung

This book gathers selected papers presented at the 8th International Conference on Inventive Communication and Computational Technologies (ICICCT 2024), held on June 14-15, 2024, at Sree Sakthi Engineering College, Coimbatore, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 974
• Erscheinungstermin: 14. Dezember 2024
• Englisch
• ISBN-13: 9789819777105
• Artikelnr.: 72592239

Autorenporträt

Dr. G. Ranganathan is working as a principal in Sree Sakthi Engineering College, Coimbatore, India. He has done his Ph.D. in the Faculty of Information and Communication Engineering from Anna University, Chennai, in the year 2013. His research thesis was in the area of bio-medical signal processing. He has a total of 30+ years of experience in industry, teaching, and research. He has guided several project works for many UG and PG students in the areas of bio-medical signal processing. He has published more than 35 research papers in international and national journals and conferences. He has also co-authored many books in electrical and electronics subjects. He has served as a referee for many reputed international journals published by Elsevier, Springer, Taylor and Francis, etc. Dr. George A. Papakostas received the diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas currently serves as a full professor in the Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Greece. He has (co)authored more than 70 publications in indexed journals, international conferences, and book chapters. His research interests include pattern recognition, computer/machine vision, computational intelligence, machine learning, feature extraction, evolutionary optimization, and signal and image processing. Dr. Papakostas served as a reviewer in numerous journals and conferences, and he is a member of the IAENG, MIR Labs, EUCogIII, and the Technical Chamber of Greece (TEE). Dr. Yong Shi currently is working as an associate/tenured professor of Computer Science at Kennesaw State University, and director/coordinator of the Master of Computer Science. He is the responsible for directing the Master of Computer Science program and 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, reviewer, editorial board member, and program committee member in many reputed journals and conferences. His research interest includes cloud computing, big data, and cybersecurity.

Inhaltsangabe

Enhancing Attack Detection on IoT Devices using a Hybrid Deep Learning Model.- Analysis of Routing Protocols in VANETs with Different Pause Times.- Performance Insights of Attention-free Language Models in Sentiment Analysis: A Case Study for E-commerce Platforms in Vietnam.- An AutoML Approach Integrated with Live Weather Data in Rain Forecasting System (RFS).- Decentralized Identity Management using Self-Sovereign Identity Approach through Blockchain.- Stock Price Prediction Model using Enhanced LSTM and Arima.- Prefetching Mechanism for Distributed Cache Architecture: Trends and Challenges.- A Concise Review of Crop Disease Identification: Integrating Conventional and Deep Learning Feature Extraction for Effective Diagnosis and Mitigation Strategies.- Fortifying Healthcare Data Security in Cloud Environments.- Review on the Enhancement of 5G Communications using LEO Satellites.- Design and Implementation of a Python-Based GUI Tool for Eye-Hand Coordination Analysis.- Detection of Strabismus using Convolutional Neural Network based Classification Models.- Video Anomaly Detection using Liquid Neural Networks.- A Blockchain Solution to Counterfeiting in the Semiconductor Supply Chain.