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.
More details
Other editions
Additional editions
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
Scalable Multi-Core Perspective Transform for Real-Time Social Distancing Monitoring.- A Multi-Model Approach for Brain Tumor Detection in CT Scans using YOLOv11 and Pre-trained Networks.- Comparative Analysis of YOLO model in Detecting PCB Defects with associated components.- Construction and Management of Multilingual Corpus for Chinese and Foreign Language Management Platform.- Deep Learning-Based Detection and Classification of Lung Cancer from CT Scans Using LIDC-IDRI Dataset.- Human Gait Analysis for Neurodegenerative Diseases.- A Survey of Multimodal Emotion Recognition Systems for Visually Impaired.- Water Quality Prediction based on Machine Learning and Oversampling Techniques for Sustainable Environmental Monitoring.- Self-Attention-Based Multimodal Fusion Framework for Anomaly Detection in Surveillance Systems.- Ultrasonic Distance Detector using HC-SR04 and Arduino with LED Indication: Design, Implementation and Analysis.- UAV-Enabled Wireless Power Transfer Cooperative NOMA-based MEC in IoT Networks with Imperfect CSI and SIC.- A Novel Hybrid Ensemble Pipeline using Optical Character Recognition to Classify Chronic Kidney Disease Risks from Online Patient Data.- A NOMA-MEC and SC/MRC Enabled Framework in UAV-Relayed Networks: Performance Offloading Analysis.- Mitigating Human Bias in Candidate Evaluation Through an AI-Driven Multimodal Assessment System.- Responsible AI for Industrial Workflow Automation.- Intelligent Risk Identification and Regulation Path of Sports System Based on Association Analysis Algorithm.- CodeHarbor: A Code Analysis Tool.- A Comprehensive Approach to Secure, Accessible, and Engaging Voting Systems.- Evaluating Tea Leaf Quality with Deep Learning: Insights from Occlusion Sensitivity Analysis.- Developing an IoT-Enabled Smart Biomechanical Device for Enhancing 3D Kinematics of the Forehand Stroke in Table Tennis.- Artificial Intelligence in Photovoltaic Fault Detection: A Review of Techniques and Challenges.- XAI in Agriculture: Enhancing Pest Detection with Explainable Intelligence.- AI-Driven Code Comment Quality Assessment and Its Impact on Software Complexity: A Review.- Dynamic Evaluation of Impact of Contextual Knowledge Graphs on Large Language Model Performance.- An Efficient VGG-19-ResNet50 Based Learning Model For Lung Cancer Classification.- A Systematic Review of Scope Creep's Impact on Agile Test Automation: Toward a RiskBased Metric.- Evaluating Large Language Models for Software Testing: A Systematic Review of Metrics and Practices.- Performance Optimization Analysis of Virtual Reality Engine in Metaverse under Digital Intelligent Network Technology.- Hybrid Deep Learning Model Integrating YOLOv8 and CNN for Accurate Image Classification.- Enhancing Tea Leaf Disease Recognition with Attention Mechanisms and Grad-CAM Visualization.- Explainable Ensemble Learning for Blood Glucose Forecasting in Type 1 and Type 2 Diabetes.- An Integrated Sensing and Communication Deep Learn-ing Technique in 6G Network for Drone Detection at Multiple Attitudes.- ZenMate: A Culturally Adaptive Multilingual Mental Health Chatbot Using GPT-3.5 and spaCy.- Ensemble Approach For Surface Road Damage Detection Using Deep Learning.- Supervised Approaches to Detect Zero Day Attacks: Strategy and Analysis.- SynapseAI: Bridging Logic and Deep Learning for Selfreasoning Capability.- Blockchain-Enabled Reputation System for Mitigating Sinkhole Attacks in RPLBased IoT Networks.- Cross-Corpus Speech Emotion Recognition via Domain-Adversarial Neural Network.- IoT based hydroponic crop growth management farming technique using hybrid methods of Deep learning.- A Balanced Distribution Mechanism of Total Factor Collaborative Computing Power Consumption Based On Iterative Optimization Algorithm.- Analyzing and Mitigating Cybersecurity Risks in Critical Infrastructure Systems.- Integrating Artificial Intelligence and Big Data in Supply Chain Management for Increased Efficiency and Sustainability.- Research on the Driving Effect of Intelligent Upgrading of Aviation Technology Equipment on the Machinery Manufacturing Industry.