Optimized Ensemble Machine-LearningDriven Transparent Thyroid Cancer Prediction Using Explainable Artificial Intelligence
An ensemble hybrid framework: A comparative analysis of metaheuristic algorithms for ensemble hybrid CNN features for plants disease classification
Automated diagnosis of hepatitis B using multilayer Mamdani fuzzy inference system
An explainable hybrid deep learning framework for precise skin lesion segmentation and multi-class classification
Data and machine learning fusion architecture for cardiovascular disease prediction
Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization
A modified fractional least mean square algorithm for chaotic and nonstationary time series prediction
Adaptive step-size modified fractional least mean square algorithm for chaotic time series prediction
Presenting and evaluating scaled extreme programming process model
Low voltage distribution grids optimization with increasing distributed energy generation: A review
Interpretable machine learning models for beta thalassemia prediction: an explainable AI approach for smart healthcare
Deep Learning-Based Analysis of Mammographic Images for Breast Cancer Detection Using Transfer Learning
Detection of Defective Sensors in Phased Array Using Compressed Sensing and Hybrid Genetic Algorithm
Diagnosis of Faulty Sensors in Phased Array Radar Using Compressed Sensing and Hybrid IRLS–SSF Algorithm
