Full Description
This book serves as the official proceedings of the Third International Conference on Intelligent Computing and Cutting-edge Technologies (ICICCT 2025), showcasing a curated collection of ground-breaking research and innovations in the field of intelligent computing. This book is structured into well-defined sections, each addressing key themes of the conference: Foundations of Smart Computing: This book introduces the fundamental concepts, theories, and technologies that form the basis of intelligent computing. Topics include artificial intelligence, machine learning, IoT, and cloud computing. Emerging Technologies in Computing: Delving into state-of-the-art developments, this book covers transformative technologies such as quantum computing, blockchain, 5G, and digital twins, emphasizing their potential to revolutionize industries. Applications of Intelligent Computing: Focused on real-world applications, this book explores how smart systems are being leveraged in healthcare, smart cities, Industry 4.0, and environmental sustainability. Advanced Topics in Computing: Featuring specialized topics such as Explainable AI (XAI), Edge AI, cybersecurity, and human-centric computing, this book provides insights into emerging research areas. Future Trends and Challenges: This forward-looking section identifies promising research directions and discusses the societal and ethical challenges of deploying intelligent systems at scale.
Contents
A Comprehensive Comparative Study of Traditional Machine Learning and Deep Learning Models for Accurate and Early Lung Cancer Diagnosis.- Enhancing Anomaly Detection in Autonomous Systems Using Deep Learning and Fuzzy Control.- LSTM Neural Networks in Healthcare Disruption Forecasting: A Comprehensive Review and Implementation Framework.- Machine Learning-Based Sentiment Analysis in E-Commerce Text Reviews.- English and Arabic SMS Spam Detection Using Machine Learning.- Night-to-Day Media Conversion Using Generative AI: A CycleGAN-Based Approach with Video Processing.- Learning to Design Interfaces: GUI Generation Using GAN.- Visually-Grounded Textual Reconstruction: An End-to-End System for Assembling Torn Documents and Infilling Content with LLMs.- Novel Contrastive Similarity Learning Approach for Audio-Enabled CLIP Model Using Siamese Network-Based Projections.- A Late Fusion Framework for Multi-Modal Emotion Detection System Using Vision Transformer Models.- A Vision Transformer Framework with Orientational Pooling for Breast Cancer Image Classification.- Edge-Deployed Vision Transformer Model for Automated Keratoconus Classification in Corneal Imaging.- Deep ResNet-Based Classification of Handwritten Devanagari Characters: A Comprehensive Evaluation on DEVA-C-SET Dataset. -An Integrated Deep Learning Approach for Early Detection of Mango Leaf Curl Virus Using YOLOv8 and ResNet50.- Lightweight Deep Learning Model for UAV-Based Disaster Detection.- Similarity Learning-Driven Knowledge Distillation Model for UAV-Based Disaster Events Classification.
