Proceedings of International Conference on Artificial Intelligence and Networks
Description
This book presents selected papers from International Conference on Artificial Intelligence and Networks (ICAIN 2025), organized by BITS Pilani, Dubai Campus, in association with the Indian Institute of Information Technology, Allahabad, and Universal Inovator on 6-7 October 2025. The topics covered in the book are deep learning, machine learning, natural language processing, data science and analytics, cybersecurity and privacy, cloud computing, and wireless and mobile networks.
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Persons
Prof. Bal Virdee graduated with a BSc (Engineering) Honours in Communication Engineering and MPhil from Leeds University, UK. He obtained his PhD from the University of North London, UK. He worked as an academic at Open University and Leeds University. Prior to this, he was a research and development Electronic Engineer in the Future Products Dept. at Teledyne Defence (formerly Filtronic Components Ltd., Shipley, West Yorkshire), and at PYE TVT (Philips) in Cambridge. He has held numerous duties and responsibilities at the university, i.e., Health and Safety Officer, Postgraduate Tutor, Examination's Officer, Admission's Tutor, Short Course Organiser, Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems and BSc Electronics.
Prof. Sérgio D. Correia received his Diploma in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2000, the master's degree in Industrial Control and Maintenance Systems from Beira Interior University, Covilhã, Portugal, in 2010, and the Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2020. Currently, he is an Associate Professor at the Portalegre Polytechnic University, Portugal. He is also a Researcher at COPELABS - Cognitive and People-centric Computing Research Center, Lusofona University of Humanities and Technologies, Lisbon, Portugal, and VALORIZA - Research Center for Endogenous Resource Valorization, Portalegre Polytechnic University, Portalegre, Portugal, and has worked with several private companies for more than 20 years.
Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, MTech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has Industrial experience of 8 years in organizations like Usha Rectifier Corporations and Envirotech Instruments Pvt. Limited. He has 22 years of teaching experience. He is actively engaged in research. He has more than 60 quality publications out of which 8 are SCI and 16 Scopus. Two of his Ph.D. Scholars have completed his Ph.D. from NIT Kurukshetra and IIT Dhanbad. He is currently supervising a Ph.D. student from AKTU Lucknow.
Dr. Narina Thakur completed her Ph.D. in Computer Science and Engineering from Amity University Uttar Pradesh, India, in 2019, with a focus on Information Retrieval and Machine Learning. She earned a Gold Medal for her Bachelor of Technology (B.Tech) in Computer Science & Engineering from Himachal Pradesh University and holds a Master of Technology (M.Tech) in Information Technology from Punjab Technical University, India. Currently, Dr. Thakur serves as the Head of the Research and Innovation Committee and is an Assistant Professor in the Department of Computing at the University of Stirling, RAK Campus, UAE. With 23 years of teaching experience and an H-index -14, Dr. Thakur has published 5 SCI-SCIE indexed and more than 75 research papers in peer reviewed Scopus Indexed International Journals, ACM SIGARCH, Elsevier, IEEE, and International Conferences. She has authored several books on Algorithms, Programming, and Operating Systems. Her research areas include Computational Intelligence, Artificial Intelligence, Computer Vision, and IoT.
Dr. Sujala D. Shetty is an Associate Professor and Head in the department of Computer Science. She is working with BITS Pilani, Dubai Campus since September 2002. She has wide academic and research experience. She has handled significant administrative responsibilities. She has handled classes for both undergraduate, postgraduate and distance education students. Her research areas are Big Data, Artificial Intelligence, IoT, Web Services, NLP. She completed her bachelor's from Bangalore Institute of Technology in 1994, her master's from Manipal Institute of Technology in 2004 and her PhD from BITS Pilani, Pilani Campus in 2010, respectively.
Content
7G Wireless Networks: Vision, Technologies, and Roadmap.- AI-Enhanced Portfolio Diversification: A Five Metric Comparative Analysis with Traditional Approaches.- Multi-DMS Navigation System with EKF and Machine Learning for Alternative Position, Navigation, and Timing (APNT) in On-Route Aircraft Aircraft with blocking GNSS.- Quantum-Resistant Blockchain Systems: A Comprehensive Review of Post-Quantum Cryptography Integration.- Towards Explainable Neural Networks: Investigating Image Pixels Contributions with LRP and Explainable AI.- Credit Risk Modeling Using SHAP: A Comparative Performance Study of XGBoost and LightGBM.- Data Mining and Knowledge Discovery: Techniques, Challenges, and Future Trends.- Convergence of Cloud Computing and Distributed Systems: Evolution, Challenges, and Future Directions.- Applications of Wireless Sensor Networks in Smart Cities, Healthcare, and Environmental Monitoring.- A Review of Fintech Innovations and Networking Technologies in the Digital Financial Ecosystem.- Deep Artificial Intelligence with Full Stack Security: A Review.- DDoS Attacks Mitigation Techniques and Analysis in Software-Defined Networks.- Leveraging LLMs and RAG forAI-Driven Legal Assistance.- Defect Detection in Agricultural Products.- Using convolutional neural networks to classify tonic- clonic seizures from motor activities from scalogram images: an applied study and performance challenges.- Unsupervised Predictive Monitoring with LSTM and Deviation Scoring.- A Hybrid Approach to Driver Fatigue Detection on Edge Devices: Fusion of CNN and Landmark-Based Features.- AI-Native ERP for Manufacturing: A Dual Approach with Generative and Genetic Intelligence.- Deep Learning-Based Early Detection of Neurological Disorders Using Multimodal MRI and Clinical Data Fusion.- Exploring the Bias Identification and Measuring Mechanisms in Mental Health Analysis.- Real-Time Gesture-Based Security System with Weapon Detection and Automated Alerts.- Quantum Computing Meets Generative AI in SAP- Powered Enterprise Systems.- Design of Smart Battery Management System with SoC Estimation in Real-Time Environment at TRL 4.- Metaheuristic-Driven Optimisation of RoBERTa Ensembles for Fake Review Detection.- XMSRAVNet: Accurate and Explainable White Matter Lesion Segmentation using Multiscale Residual V-Net with Attention Mechanism with Cosine Warm Restarts.- Machine Learning for Meta-Opinion Prediction in Social Systems Using Compact Belief Representations.- Traditional Machine Learning Based on Handcrafted Features for Cartoon Character Classification.- Energy Conservation in sustainable cities through IoT and Wireless Sensor.- A Comparative Analysis of utilizing Neural Network with Fuzzy Logic and Wrapper Feature Selection to Alleviate Sarcasm in terms of Noisy Textual Data In social Media Context.- Estimation of Safe Operating Envelope for Electric Vehicle Battery.- Creation of the AI behavior Biometriccs GAIT Model : Synthetic Data Augmented to a Secure Authentication.- Machine Learning based Framework for classification and Transformation of Bird calls using Attention mechanism.- Urban Ecosystem Revolution: Integrating Nature's Wisdom with Automation for Sustainable City Living.- Generative Adversarial Networks with Gated Recurrent Units for Stock Return Modeling and Portfolio Management using Synthetic Financial Time Series.- CipherSafe vault: Encrypted File storage solution System.- Soil Property Prediction Using Feedforward Deep Neural Network: A Case Study on Soil pH Estimation in Maharashtra Region.- Bridging Water Engineering and Digital Innovation: A Framework for Sustainable Infrastructure Asset Management.- AI Agents in Autonomous Retail Data Pipelines: Self-Evolving ETL for Customer Behavior Data.- A Vision Transformer (ViT) Based Approach for Real-Time Indoor Fire, Smoke, and Human Detection.- Hybrid Deep Learning Framework For Identification Of Pulmonary Nodules In Lung Cancer.- XAI-based Approach for Classification of Brain Tumor.- Early Prediction of Performance: A Machine Learning Approach to Predicting Student Performance Using Continuous Assessment Data.- An Optimized Framework to Monitor Remotely GIS Data in Urban Cities.- Advanced Parkinson's Disease Detection and Forecasting Using Hybrid Machine Learning Techniques.