Proceedings of Fifth International Conference on Computing and Communication Networks

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.

• Epidemic-PF Routing for Efficient Message Delivery in Delay-Tolerant Networks.- Hybrid Active Roll Stabilization (ARS) System for Naval Vessels: Incorporation of AI, ML, and Advanced Applied Electronics.- PrepMaster: A Comprehensive Web Application for Enhancing Interview Preparedness.- Consumer Behavior Propagation Modeling in Social Networks Based on Graph Neural Network.- Explainable Quantum CNN Models for Detecting and Mitigating Cyber Threats in Distributed Systems.- Data Fabric for Generic Cloud-AI Product.- Unlocking the Value of IoT-Driven Smart City Data.- Reducing Mutual Coupling in THz Band MIMO Antennas for 6G Applications.- Hybrid Machine Learning Models for Crowdfunding Success Prediction.- AI Driven Dynamic Content Generation In Memory Training.- Mapping The Terror: A Social Network Analysis Of Al-Qaeda And Its Affiliates’ Operations.- A Robust Mobile Healthcare Monitoring Prototype using Wearable units for Remote Patients Coverage.- Neatnotesai: A.I. Assisted Handwriting Recognition Framework For Dysgraphia.- Analyzing Online Word-of-Mouth in Tourism Using Text Mining.- Metaheuristic Algorithm for Exploring Restaurants andFinding Delicious Food.- Effectiveness Evaluation of UAV Collaborative Operation Algorithm in Large-scale Forest Fire Fighting Operations.- VR-SHE: Educating Autistic Women On Menstrual Health Through Immersive Reality.- A Comparative Study of Hybrid Deepfake Detection Models Using EfficientNet–LSTM and ViT–TCM.- Emotion Recognition Using BERT and CNN: A Deep Learning Approach for Crossmodal Fusion of Text and Audio.- Evaluating the Impact of SMOTE on Workplace Absenteeism Prediction for Enhanced Human Resource Decision-Making.- Enhancing Isolation in MIMO Systems: Insights from Simulation Models.- Fortifying IoT Networks against Cyber Threats with Machine Learning.- Comparative Analysis of Machine Learning and Deep Learning Models for E-Learning Recommendation Systems with SHAP Explainability.- Breast Cancer Prediction and Survival Analysis Using Random Forest.- Empowering Hybrid RAG Models with Knowledge Graphs for Enhanced Precision and Reliability.- Developing a Framework to Distinguish Green Behaviour Among Plastic Consumers Using Machine Learning Approaches.- Hybrid Approach to Intrusion Detection in Cryptocurrency Exchange using ANN, DBSCAN and SHAP.- Optimal Path Planning for Self-driving Tours under Multiple Constraints: Solution Based on Improved Ant Colony Algorithm.- A Hybrid Approach for the Early Detection of Autism Spectrum Disorder and Hyperactivity in Children.- ResNet101-EfficientNetB5 based learning model for efficient classification of Brain ischemia in CT imaging.- Optimizing EEG Signal Interpretation for Neurological Diagnosis via Data Augmentation.- A Predictive Data Mining Framework for Accurate Modeling of Ocean Wave Dynamics in Coastal Risk Assessment.- Aerial Image Analysis for Urban Planning.- SecDL-Fuse: A Hybrid Secure Deep Learning Framework for Industrial cybersecurity Using Transformer-Enhanced CNN and LSTM-GRU Fusion.- TyperSig: A Custom Activation Function for PiNet-BiLSTM Keystroke Analysis.- Precise Prediction of Cardiovascular Impact Patients with Viral Infections.- Leveraging Hybrid Deep Learning Model for Advanced Attacker Detection in Quantum Key Distribution(QKD)-Based IoT Systems.- HireGenius: Automated Interviewing System for Software Engineers.- AI-Driven Sustainable Energy Harvesting System with Triboelectric Nanogenerators for Smart Environmental Monitoring.- Exploration of the Application of Deep Learning Algorithms in Computer Network Communication Fault Prediction.- Secure Data Storage and Retrieval in Cloud Computing using Homomorphic Encryption.- Enhancing Disaster Resilience and Recovery using Advanced Risk Assessment and Mitigation Strategies.- A Survey on GNSS Spoofing Attacks on UAV Swarms: Challenges, Current Solutions, and Future Directions.