Publications
An enhanced hybrid artificial bee colony and genetic algorithm for multi-objective workflow scheduling in the cloud
Automated project scheduling from UML sequence diagrams using OCR and critical path analysis
Cardiovascular disease detection: A hybrid machine learning-AI framework for personalized diagnosis and risk assessment
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
Efficient Arabic Essay Scoring with Hybrid Models: Feature Selection, Data Optimization, and Performance Trade-offs
Optimized YOLOv8 for Enhanced Breast Tumor Segmentation in Ultrasound Imaging
A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer
Aggregated Catalyst Physicochemical Descriptor-Driven Machine Learning for Catalyst Optimization: Insights into Oxidative-Coupling-of-Methane Dynamics and C2 Yields
Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine-Tuning of Vision Transformer Models
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
Framework to monitor pregnant women with a high risk of premature labour using sensor networks