This book 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, edge intelligence.
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.
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 Perceptrons 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 Alzheimers 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 CAEMOCNN Architecture for Efficient Multiple-output Plant Species and
Disease Classification
62. A Cost-Effective AI Enabled Framework for
Human-Wildlife Conflict Mitigation in Jammu & Kashmirs 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 Alzheimers 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.
Sudans 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
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 Bachelors degree in Engineering and Technology (ECE) from Guru Nanak Dev University, Amritsar in 2011. He received his Masters degree in Electronics & Communication Engineering from Punjabi University, Patiala in 2013 and Masters 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.
