Proceedings of Fifth International Conference on Computing and Communication Networks
Description
This book includes selected peer-reviewed papers presented at Fifth International Conference on Computing and Communication Networks (ICCCN 2025), held at Manchester Metropolitan University, UK, during August 1-2, 2025. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.
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Persons
Dr. Nhu Gia Nguyen received a Ph.D. degree in computer science from Ha Noi University of Science at Vietnam National University, Vietnam. Currently, he is Dean of the Graduate School at Duy Tan University, Vietnam. He has a total academic teaching experience of 18 years with more than 50 publications in reputed international conferences, journals, and online book chapter contributions (indexed by: SCI, SCIE, SSCI, Scopus, DBLP). His areas of research include: network communication, security and vulnerability, network performance analysis and simulation, cloud computing, image processing in biomedical. Presently, he is Associate Editor of the International Journal of Synthetic Emotions (IJSE).
Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture and Technology, M.Tech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has 28 years of teaching and industrial experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida, and Galgotias University Greater Noida. He is actively engaged in research. One of his Ph.D. scholars has completed his Ph.D. from NIT Kurukshetra, and he is currently supervising 4 Ph.D. students. He has guided 12 M.Tech. dissertations also. He has authored 3 books and 5 book chapters. His 10 papers are indexed in DBLP and 16 papers are SCI. He had been part of the organizing committee of three IEEE conferences (ICCCA-2015, ICCCA-2016, ICCCA-2017) and one Springer conference (ICICC-2018) as Technical Program Chair. He is Member of various professional societies like CSI and ACM and editorial board of various reputed journals.
Dr. Pancham Shukla is Principal Teaching Fellow in the Faculty of Engineering at Imperial College London. Dr. Shukla holds more than 25 years of teaching and research experience at various universities in UK and India. He holds Ph.D. in electrical and electronic engineering from Imperial College London. Dr. Pancham Shukla has supervised a broad range of projects and published papers in signal/image processing, electronic and communications systems. He has organized conferences and has served as Technical Session Chair along with reviewing many international conference and journal papers. Dr. Shukla received Vice Chancellor's award for outstanding contribution to learning and teaching as well as Student Union's award as Outstanding Member of academic staff while working at London Metropolitan University.
Content
Simulating Compliance Checks in Data Pipelines Using AI-Powered Log Analysis with Python.- Evaluating the Impact of Principal Component Analysis on Biometric Classification Based on Histogram of Oriented Gradients Features Using K-Nearest Neighbors.- Qualitative Indicator Report Analysis Based on SAS Software Statistical Technology.- A Comparative Analysis of Spatiotemporal Deep Learning Models for Indian Sign Language Recognition Using MediaPipe Holistic Landmarks.- Explainable Fake News Detection using BART: Integrating Classification and Automated Rationale Generation.- On Augmented Random Search for Efficient Multiple Sequence Alignment.- Research and Application of Artificial Intelligence based Financial Statement Automatic Generation System.- A Data Mining Approach in Classifying Online Distance Learning Effectiveness During the COVID-19 Pandemic.- Smart Crop Rotation and Substitution Using Machine Learning.- Comparative Deep Learning Models for Predicting AChE Inhibitory Activity from Molecular Structure Data.- Enhanced Thyroid Risk Prediction Through MCTS-Driven Genetic Algorithm Optimization of Neural Networks.- AI-Powered Dynamic Crop Insurance Analysis with a Data-Driven Approach to Risk Mitigation.- Deep Learning-Based Synthetic Brain Scan Image Generation Using SinGAN with Dual Attention Mechanism.- A Framework for Designing a Value-Driven Childcare System.- Structural Analysis of Indigo Dyeing Pattern Design for Clothing Based on Interactive Genetic Algorithm.- The effect of Patch Size on the classification accuracy of multi-spectral remote sensing data.- Bitcoin Price Forecasting Using Hybrid Sentiment Analysis and Deep Learning Approaches.- Impact of Social Media Sentiment on Bitcoin Price Volatility: A Deep Learning Analysis.- The Innovation System of Nursing Clothing Based on Artificial Intelligence Technology.- An Interdisciplinary Smart System for Agility Assessment of Badminton Players Using Automated Measurement Technology.- BlockVoteX: A Parallelized Biometric Voting System with Hybrid Blockchain Identity Handling.- Human Emotion Prediction Based on Images Using Deep Learning.- Investigating Speech as a Standalone Modality to Detect Dementia using Deep Learning Techniques.- Dynamic Flight Fare Forecasting using a Data-Driven Computational Approach.- Skin Cancer Diagnosis using Hybrid-Model: DenseNet and ViT.- Empirical Validation of Optimization Algorithms for Parkinson's Disease Prediction.- Powering Progress: Historical Evolution, Current Landscape, and Future Directions for Achieving SDGs through India's Energy Sector.- From Words to Warnings: How Complaint Language Reveals Consumer Injury Severity.- Enhanced Image Restoration Using Hybrid Wiener-Lucy-Richardson Deblurring and Histogram Equalization.- Deep Interactive Genetic Algorithm for Digital Media Based on VR Intelligent Image Segmentation.- A Hybrid Model of Deep Learning and Machine Learning with Image Feature Extraction Techniques for Melanoma: Supporting Clinical Diagnostic Decision Making.- Early Detection and Risk Classification of COVID-19 by Machine Learning Techniques based on Clinical and Genomic Data.- A Longitudinal Analysis of Crop Production Trends and Economic Value Across Canadian Provinces.- NeuroOCD: An Intelligent Exposure and Response Prevention(ERP) Platform for Obsessive Compulsive Disorder(OCD) Therapy.- Efficient Real-Time Object Detection on Mobile Devices using YOLOv5.- NLP based Model for Fake Product Review Assessment and Eradication in Online Marketing.- Deep Multimodal Fusion for Emotion recognition from Facial and Acoustic Cues.- A Robust Ensemble Deep Learning Framework for Highly Sensitive and Interpretable Detection of Basal Cell Carcinoma in Dermoscopic Images.- An Intelligent Real-Time System for Detection and Monitoring of Floating Waste Using YOLOv12 Model.- Application of Artificial Intelligence in Accounting and Auditing: Research on Intelligent Risk Assessment and Anomaly Detection System.- AI-Enabled Design for Personalized Financial Management and Advisory: Design & Early-Stage Evaluation for Intelligent Financial Devices.- Design and Implementation of a Scalable Zero Trust Security Architecture for Multi Cloud Environments with Dynamic Policy Enforcement and Continuous Risk Assessment.- Research on Integrated Design of Aviation Technical Equipment and Mechanical Manufacturing Based on Digital Twinning.