This book compiles the proceedings of the Second International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2025). It brings together high-quality research, practical insights, and scholarly debate in the field of smart computing, artificial intelligence, machine learning, edge learning, data mining, image processing, smart communication, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems, imaging, edge intelligence.
This volume provides comprehensive coverage of emerging technologies, innovations, and trends shaping modern smart systems. It addresses real-world deployment challenges while presenting effective solutions, offering readers practical insights into communication paradigms essential for smart city ecosystems. Key focus areas include smart healthcare, smart transportation, and intelligent data processing, with detailed analysis of how advanced technologies enhance efficiency, safety, and decision-making.
The integration of theoretical concepts with practical applications makes this an invaluable resource for researchers, academicians, industry professionals, and students exploring smart cities and next-generation communication systems.
Table of Contents:
1. Security Issues related to CRNs in Resource Constrained IoT Environment 2. Real-Time Landslide Detection And Early Warning System Using InSAR And IOT Technologies 3. Leaf Identification and Information Retrieval Using Deep Learning and GenAI 4. Law-GPT A Retrieval Augmented Framework for Legal Document Interpretation 5. Explainable Artificial Intelligence: A Review of Benchmark and Deep Learning Techniques 6. Benchmark Techniques to Advanced Deep Learning Methods for Feature Engineering- A Review 7. Forest fire detection using machine learning 8. Hyperparameter Optimization in Multilayer Perceptron’s for Effective NETBIOS DDoS Attack Detection 9. FashFit: Personalized Outfit Illusion Using Face and Garment Matching 10. Next-Gen Data Converter Architectures (ADC/DAC) for AI/5G Applications 11. Strategic Framework for Enhancing Public Healthcare System in India 12. Solar EV Charging with Neural Network Based Grid Harmonic Reduction 13. Factify – Smart Blogging with Fake News Guard 14. Precision Agriculture: Forecasting Crop Prices through Machine Learning Models 15. DiagnoMatrix: Unified Health Prediction Using Machine Learning 16. Customer Churn Prediction Using Machine Learning 17. Self-Supervised Human-centric Multimodal Transformer for Robust Action 18. Enhancing the Use of AI for Real-Time Decision-Making and Climate Adaptation 19. A Blockchain-Enabled Framework to Ensure Transparency, Security and Equity in Educational Scholarships 20. Generative AI: Applications and Tools 21. SSDP DDOS Attack Detection using Deep Autoencoder Variants 22. Product Authenticity Assurance using Blockchain Technology 23. Early Detection of Diabetic Retinopathy Using Convolutional Neural Networks 24. Enhancing Ride Sharing Safety through Deep Learning Based Drowsiness Detection 25. Aero-leaf vertical axis wind turbine for sustainable future power solutions 26. A User-Centric Comparative Analysis of Large Language Models: Exploring the Strengths and Usability of Grok, DeepSeek, ChatGPT, Gemini and Claude AI 27. Evaluating the Effectiveness of Lightweight Cryptographic Algorithms for Resource-Constrained IoT Devices in Smart Home Environments 28. Augmented Vision in Healthcare through Real-Time Digital Twin Systems 29. Hybrid wood ash geopolymer brick with Co2 capture 30. Deep Learning Approach for Plant Disease Detection 31. Gooseneck Barnacle Optimizer for Hyperparameter Tuning of Deep Intrusion Detection Systems: A Comparative Study with GA, PSO, GWO and Random Search on CIC-IDS2017 32. Smart AI Protor: Intelligent Monitoring For Online Examination 33. AI-Powered Personalized Learning Path Generator 34. Resume Builder and Job Recommendation 35. Binary Classification of Diabetic Retinopathy from Fundus Images Using Capsule-Networks 36. CineFusion: A Multimodal AI Framework for Cinematic Scene Visualization using Diffusion Models and Large Language Models 37. AgroVision - Crop Disease Detection and Yield Forecasting System 38. IoT-Enabled Smart Bin for Wet and Dry Waste Segregation with Liquid Extraction 39. Attention ResU-Net with Saliency Maps for Breast Tumor Segmentation in Ultrasound Images 40. Medical Report Summarization and Symptom Checker using Transformer 41. Cardiovascular disease detection using Deep Learning 42. Machine Learning Models for ALS Classification Using Whole Blood Gene Expression 43. Exploring the Intersection of Artificial Intelligence, Indian Ethics to achieve SDG 4.7 in Value-Based Education 44. Fuzzy Logic-Based Risk Modelling for Alzheimer’s Detection Using Multiple Clinical Modalities 45. AI based Intrusion Detection System 46. Conveyor Belt based Sensor Driven System for Automated Waste Seggregation 47. Custom vs Managed Deployment Pipelines on AWS: A Comparative Study of Sustainability and Scalability 48. Cross-Lingual Quality Prediction of Wikipedia Articles Using Language-Agnostic Features and Machine Learning 49. Advancing the Mathematical Framework of Artificial Self-Identity: A Multimodal and LoRA-Based Approach 50. SENTRY: Smart Entry Tracking and Recognition System for Automated Hostel Attendance Using MobileFaceNet and Real-Time Database Integration 51. Malware Detection in Network Traffic using Support Vector Machines 52. Automated Vending Machine with Reward Mechanism for Plastic Bottle Management 53. AI-Enabled IoT Fitness Band for Real-Time Stress and Dehydration Monitoring 54. Intelligent Intravenous Infusion Monitoring with Cloud Integration for Clinical Applications 55. Tyre Pressure Monitoring System for Real-Time Safety Enhancement 56. IoT-Based Machine Learning System for Real-Time Water Quality and Contamination Prediction 57. Enhancing IDS Performance: Score-Based Detection and Thresholding Using Snort 58. Intelligent Robotic Arm System for Automated Wet and Dry Waste Segregation in Smart Cities 59. A Machine Learning Approach for Predicting Student Academic Performance Using Multi-Factorial Data 60. Leveraging Large Language Models for Legal Document Processing: A Case Study on Indian Judiciary Texts 61. A Hybrid CAE–MOCNN Architecture for Efficient Multiple-output Plant Species and Disease Classification 62. A Cost-Effective AI Enabled Framework for Human-Wildlife Conflict Mitigation in Jammu & Kashmir’s Smart City Development 63. AI-Driven Agricultural Intelligence: Integrating Machine Learning, Computer Vison, and IoT for Smart Farming Systems 64. Deepfake Detection Using Artificial Intelligence and Computer Vision. 65. Hybrid Quantum-Classical Frameworks in AI: Challenges, Trends, and Opportunities 66. A Real-Time Blood Donor Finder with Emergency Alert Feature 67. Hybrid PCA-RNN Ensemble Model for Diagnosis of Alzheimer’s Disease Using Multimodal Data 68. KEYTRACE: Keystroke-Driven I/O Behaviour Analysis for Robust User-Space Keylogger Detection 69. A Systematic Review On Face Morphing Attack Detection 70. Simulator-Free Quantum-Inspired Networks for Tabular Breast Cytology: Calibrated, Clinically Aligned Classification on the Wisconsin Dataset 71. Integration of AI, Sensors, and Smart Devices for Monitoring Plastic-Induced Health Hazards 72. BCFNet: A Hybrid Capsule-Transformer-CNN Architecture for Interpretable Breast Cancer Histopathology Classification 73. Blockchain-Based Supply Chain Transparency (TransChain) 74. Empowering Secondary Education Through ICT: An Analytical Study 75. Analysing the role of AI agents for transformative pedagogy in achieving SDG4: Sustainable Development Goal for quality education 76. Sudan’s E-Government roadmap: Lessons from comparative analysis 77. Exploring Cybersecurity Awareness among Street Vendors: A Pathway to Inclusive Growth 78. An Efficient Sliding K-Means SVM based Key-Frame Extraction approach for Dynamic Hand Gesture Recognition 79. Machine Learning-Based Diabetes Risk Prediction Using the Pima Indians Dataset 80. AI-Driven Aerial Image Analysis for Construction Equipment Monitoring 81. Geospatial Image Fusion for Automated 3D Building Façade Reconstruction 82. An Investigation into Data Privacy and Compliance Issues in Cloud Security 83. Real-World Application and use cases: Blockchain-Federated DeepFex in Media, Healthcare 84. Identification of Weed Species – An Attempt to satisfy Sustainable goals 85. An Automated System to Detect Rare Diseases 86. Sustainable Risk Mitigation of Nitrosamine Impurities in Pharmaceutical Manufacturing 87. Family-Based Digital Nudge Framework for Emotional Support and Appreciation of Working Women (FDN-EW) 88. Three Stage Tenth Order Analysis of Eighth-Order Initial Value Problems using Runge-Kutta Method for Sustainability in Research 89. A Systematic Analysis of Technologies and Implementation Strategies of IoT-driven smart cities 90. Reliability Analysis of a Non-Identical Two-Unit Standby System Using Weibull Modeling and Semi-Markov Methods for Sustainability in Research 91. Quantum-Inspired Optimization Techniques for Enhancing Classical Machine Learning Performance: A Comprehensive Review 92. AI-Based Resume Screening and Ranking System 93. Parallel Monte Carlo Simulations for Influence Estimation in Social Networks
About the Author :
Shalli Rani (Director, Research & Senior Member of IEEE) completed her Post-doc from Manchester Metropolitan University, UK in June 2023. She is a Professor at Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. She has 18+ years of teaching experience. She received her MCA degree from Maharishi Dyanand University, Rohtak, in 2004 and her M.Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur, in 2007 and her Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar, in 2017. Her research interests include Wireless Sensor Networks, Underwater Sensor networks, Machine Learning and Internet of Things. She has published/accepted/presented more than 100 papers in international journals /conferences (SCI+Scopus) and edited/authored five books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters. She has also served as guest editor and reviewer for many reputed journals. She has worked on Big Data, Underwater Acoustic Sensors and IoT to show the importance of WSN in IoT applications. She was awarded the Young Scientist Award in Feb 2014 by the Punjab Science Congress; the Lifetime Achievement and Supervisor of the Year awards in 2021 by Global Innovation and Excellence.
Ayush Dogra (Allied Member – European Society of Oncological Imaging) is currently working as an Assistant Director –Research, CURIN, Chitkara University, Punjab, India. He graduated with a Bachelor’s degree in Engineering and Technology (ECE) from Guru Nanak Dev University, Amritsar in 2011. He received his Master’s degree in Electronics & Communication Engineering from Punjabi University, Patiala in 2013 and Master’s degree in Business Management (MBA) from IGNOU, Delhi, in 2015. He completed his Doctorate Degree from the Department of Electronics and Communications Engineering, Panjab University. His research focuses on devising a novel and innovative market-oriented mechanism for medical image fusion. He has also worked as a Post-Doctoral Researcher at the Biomedical Applications Unit, CSIR-Central Scientific Instruments Organization, Chandigarh. He has served as a Junior and Senior Research Fellow with the Department of Electronics and Communication Engineering, UIET, Panjab University, Chandigarh; and as a Post-Doctoral Fellow with the Department of Center of Biomedical Engineering, IIT Ropar.
