Smart Systems and Wireless Communication
Description
This book is a collection of high-quality research papers presented at International Conference on Smart Systems and Wireless Communication, SSWC 2025, organized by Department of Information Technology, JIS College of Engineering, Kalyani, West Bengal, India, during November 21-22, 2025. This book focuses on smart cities, smart farming, smart healthcare, wireless networks communication, internet of things, cyber physical systems, human computer interaction, big data and data analytics, high performance computing, requirements engineering, analysis and verification techniques, security systems, distributed systems, biometrics, bioinformatics, robotic process automation, and machine learning.
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Persons
Rituparna Chaki is a full professor in the A K Choudhury School of Information Technology, University of Calcutta, India. She is a visiting professor in the AGH University of Science & Technology, Cracow, Poland, for more than twelve years. Her research interest ranges from optical network topologies to distributed computing and wireless network routing and security. She is associated in organizing many conferences in India and abroad as a program chair, OC chair, or member of Technical Program Committee. She has published more than 100 research papers in reputed journals and peer-reviewed conference proceedings. Her h-index is 20 with more than 1600 citations. She is a professional member of IEEE and ACM. Rituparna had been the secretary for ACMW-India and is chapter chair for ACM Professional Chapter, Kolkata.
Agostino Cortesi, Ph.D., is a full professor of computer science at Ca' Foscari University, Venice, Italy. He has extensive experience in the area of software engineering and software verification. His main research interests concern requirements engineering and static analysis techniques, with particular emphasis on security applications. He serves as a co-editor in chief of the book series "Services and Business Process Reengineering" published by Springer Nature. He has been the adviser of several doctoral and postdoctoral students from Italy and abroad (e.g., India, Cuba, USA) and has published more than 200 papers in high-level international journals and proceedings of international conferences.. Currently, he holds the chairs of "Software Engineering," "Program Analysis and Verification," "Computer Networks and Information Systems," and "Data Programming", and he serves as a partner in two Erasmus+ projects on Digital Sustainability and AI for Health, and as coordinator of an international collaboration project between Italy and Ethiopia.
Suparna Dasgupta works as an associate professor in the Department of Information Technology, JIS College of Engineering with more than 20 years Academic and Administrative experience. She completed her Ph.D. (tech.) from University of Calcutta. Suparna has recognized as REDHAT Certified System Administrator and AWS Academy Educator. Her research area and experience encompass Vehicular Ad hoc Networks, Internet of Things (IoT), Machine Learning, Software Engineering, Database Management System, Data Mining, etc. She has published more than 40 research papers in Indexed Journals, Book Chapters, and Conference Proceedings and published more than 30 number of patents. As a convener, Dr. Dasgupta organized International Conferences as, SSWC2025, SSWC2024 and has been associated in organizing many conferences in India. As a member of Program Committee, she has been associated in organizing many International conference.
Soumyabrata Saha works as an associate professor and head of the Department in the Department of Information Technology, JIS College of Engineering with more than 20 years Academic and Administrative experience at Department and Institute level. He is a member secretary of Academic Council, member of Board of Governors and IQAC of JIS College of Engineering. From 2013 to 2017, he served as the IIT-Bombay Remote Centre coordinator for the JIS College of Engineering. Dr. Soumyabrata Saha completed his M.Tech. from Jadavpur University and Ph.D. University of Calcutta. His research area and experience encompass Wireless Sensor Networks, Internet of Things (IoT), and Machine Learning and Outcome Based Education. As a convener, Soumyabrata Saha organized International Conference SSWC2025, SSWC2024 and has been associated in organizing many conferences in India. Dr. Saha is serving as reviewer of several International Journals. He has published more than 35 research papers in Indexed Journals, Book Chapters, and peer-reviewed Conference Proceedings and published more than 25 number of patents.
Content
Part I: Algorithm.- Cohort Intelligence Optimized FOPID Controller for BLDC Motor with DC-DC Boost Converter.- Optimization of Demons Registration Using Hippopotamus Optimization Algorithm.- A Hybrid Framework for Neurological Severity Assessment via Keystroke Dynamics, CGAN Synthesis, and Android-Based Data Acquisition.- A Novel Approach to Performance Enhancement and State Estimation Analysis of Grid-Integrated Hybrid Renewable Energy System Using Soft Computing Techniques.- Part II: Image Processing.- Data Augmentation for Image Classification: A Survey.- A Hybrid Edge Detection Technique for Enhanced Feature Extraction of Medical Imaging.- Captioning of Images using ResNet50 and MobileNet: A Mixed Model Approach.- A Pattern Recognition Perspective to Analyze Dynamic Handwriting for the Assessment of Parkinson's Diseases.- Animal Footprint Detection with 3D Vision.- Deepfakes in Synthetic Medical Imaging: Opportunities, Challenges, and Safeguards.- SPADE-Attention GAN for Retinal Fundus Image Synthesis from Vessel Maps: A Deep Conditional Framework with Perceptual and Structural Constraints.- Emotional AI-Driven Cardiovascular Disease Prediction Using Advanced Deep Learning Methods.- A Study on Multimodal Brain Tumor Segmentation Using Enhanced 2D U-Net Architecture.- Opportunistic Routing Methodology for Flying Ad-Hoc Network: An Analytical Perspective.- Part III: Deep Learning and NLP.- Deep Learning with a Human Touch: Detecting Cyberbullying Through Empathy-Informed Models.- Lightweight Deep Learning Model for Optic Disc and Vessel Segmentation in Fundus Images.- A Hybrid Convolutional Neural Network for Handwritten Bangla Character Recognition.- BiLSTM Based Deep Learning Model for Efficient Yoga Activity Recognition Using Kinect Sensor.- A Novel Deep Learning Based Indian Sign Language Recognition System Using Convolution Operation Reducing Redundant Features.- A Regression Based Study on Optimized Batch Adsorption of Textile Dyes using Luffa Cylindrica Sponge for Wastewater Remedy.- Automated Deblurring of Motion Blurred Images.- DeepHAR: A Centralized Deep Learning Framework for Human Activity Recognition Using Smartphone Sensor Data.- Part IV: Machine Learning and Applications.- Comparative analysis of different Machine Learning techniques for the diagnosis of eye diseases.- Decisions Making into Higher Education Systems Based on Decision Trees Algorithms.- Towards the Future of Data Protection and Privacy Enhancement -A Research Review.- An Innovative Machine Learning Approach for Cervical Cancer Prediction.- Assessing Post Covid-19 Health Effects Using Hybrid Machine Learning for Predictive Health Analysis.- Multi-modal Audiovisual Deepfake Detection using CNN, LSTM & XGB.- Decoding Tachygraphy Sentiments: A Comparative Analysis.- ML-Based Price Prediction for Agri-Horticultural Commodities.- AI-Based Approach in Marine Life Conservation.- AR based Indoor Navigation model for College using Reinforcement learning & AI agent.- Machine Learning Ensemble Approaches for Blood-Brain Barrier Penetration Prediction for Drug Discovery.- Hope Speech Detection Using Machine Learning.- Integrating Biological Features with Machine Learning to Predict Driver Mutations in Glioblastoma.- Prediction of Novel Target Proteins in the HumanDengue Protein Interaction Network using Machine Learning Techniques.- Survey on Non-Invasive Glucose Monitoring System Using NIR Spectroscopy, IoT, and Machine Learning.- Performance Analysis of Supervised Learning Algorithms for Real-Time Weed Detection: A Comparative Study.- Part V: Security Solutions.- Intrusion Detection in Higher Educational Institutions using Industrial Internet of Things through Software-Defined Network.- Blockchain Application Security Testing (BAST) Framework for Securing Enterprise Grade Blockchain Based Applications.- An Editable Blockchain Based Framework for Secure Student Evaluation.- Employing Role-Based Adaptation for Insider Threat Detection with Sequential Features and Reinforcement Learning.- A 2-layer blockchain-based trust enhancement solution for Crowdfunding.- Real-Time ICS Attack Surface Monitoring and IP Firewall Enforcement in SCADA HMIs.- Part VI: Smart System and Networks.- AgroSense: A Real-Time IoT-Based Environmental Monitoring System for Smart Farming.- An Overview of Architecture in Cyber Physical Systems.- Adaptive Congestion Control in Smart Grids: Renewable Penetration Based Multi-Objective RL-PSO.- ThirdEye - A Smart System for Real-Time Detection of Driver Drowsiness and Accident Prevention.- IoT-Enabled Rice Leaf Disease Detection Using MobileNetV2: A Lightweight Deep Learning Approach.- ECGenius: A Portable IoT-Enabled Smart ECG System with Real Time Deep Learning Diagnostics.