Full 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.
Contents
FundusInsight: A Fine-Tuned ResNet50 Framework for Automated Grading of Diabetic Retinopathy.- Optimizing Soleus Muscle Stimulation for Glucose and Lipid Regulation: A Mathematical Modeling and Particle Swarm Optimization Approach.- Cloud-Driven Transformation of Enterprise HCM Systems: A Strategic Framework for Mitigating from PeopleSoft to Oracle Cloud HCM.- Advanced Vision Perception Systems for Autonomous Driving: FRCNN, MOS-Net, and CNN Integration.- Advanced Design Modelling & Implementation Of Digital Twin For Acopostrak Using Automation Studio: Techniques And Results.- Personalized Drug Risk Prediction Using Digital Twin and Machine Learning Framework.- Comprehensive Review of Security Techniques for VANETs: Blockchain, Machine Learning, and Optimization Approaches.- Gestational Diabetes Predictions using AI model GAN.- Towards Accurate and Efficient Diagnosis of Celiac Disease Based Deep Learning Approach Using Biopsy Image Analysis.- ISLNet: A Landmark -Driven Framework for Accurate and Scalable Indian Sign Language Recognition.- Federated Learning-Based Intrusion Detection for Resource-Constrained IoT Devices Using Lightweight Neural Networks.- AwakenGuard: AI Powered Driver Vigilance System.- Transforming Pharmaceutical Care: A Digital Approach to Enhancing Patient Engagement.- Smart Industrial Performance Assessment and Monitoring Using Cloud - Based Solutions.- Mathematical Modeling and Interpretable Deep Learning for Automated IHC.- Exploring Deep Metric Learning for Pneumonia Detection in the Limited Data.- NextGenViDx: A Federated and Explainable Vision-Transformer Framework Enhanced with Generative AI for Real-Time, Accurate, and Ethical Viral Disease Detection Across Diverse Clinical Modalities.- Spotting the Fakes: LSTM-Powered Detection of Deceptive Online Reviews.- Secure-HashChain IoMT: A Blockchain and Secret-sharing Framework for Privacy-Preserving Remote Patient Monitoring.- Evaluating Few-Shot Learning Capabilities of Large Language Models as a Step Toward Artificial General Intelligence.- Enhanced Federated Learning for Network Intrusion Detection: A Comprehensive Privacy-Preserving Approach.- ESADN: An Enhanced Spatial Attention Network for Road Accident Detection.- Investigating New Approaches for Sentence Jnderstanding Using Advanced Computational Models.- Early Threat Engagement Via Honeypot-Derived Learning In Cyber Defense Systems.- Hybrid Deep Learning and Generative Augmentation Framework for Robust Multi-Metric Lung Cancer Detection: A Comparative Evaluation of CNN, RNN, and Lightweight Architectures.- A Variable-Size Block Cipher Utilizing a Novel Six- Dimensional Chaotic System and an Auto-Key Encryption Mechanism.- Hawkeye- An Interactive Intelligent Platform for Cybersecurity Awareness through Gamification.- Enhanced AI-Driven Project Management Framework for Complex Space Exploration Missions: A Case Study Analysis of the James Webb Space Telescope.- A Hybrid CNN-SVM Edge-Enabled NIDS Framework for IoT Security.- Vision Transformer-Based Model for Early Detection of Skin Cancer from Dermoscopic Images.- Cyber Threat Dynamics: Strategic Mitigation for Digital Security.- DetBias: A Framework for Detecting Bias in NLP Classifier Models.- Bird Detection using CNN on Audio Classification Datasets.- Toward Next-Generation Sensing: Optical Fiber Sensor-Based Network Technologies (OFSNT).- Earthquake prediction using machine learning models (MARS, KNN, KR, RVM).
