Advances in Smart Computing and Emerging Technologies

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.