A PROBID Hybrid Decision Model Based on Multi-Valued Neutrosophic Sets and Contact Numbers Integration
Decision Analytics for Operations Management: An Interval-Valued Spherical Fuzzy Framework for Evaluating Inventory Management Platforms
UniSkin-Net: A Unified Multi-Task Framework for Skin Cancer Segmentation, Classification, and Detection
Directional Forecasting of WTI and Brent Crude Oil Prices: A Machine Learning Approach with Technical Indicators at Daily, Weekly, and Monthly Frequencies
Volitional Ohm: An Entropy-Based Meta-Learning Strategy for Adaptive Robotic Navigation in Dynamic Environments
Enhancing HPC Job Run Time Predictions leveraging Machine Learning, Historical Job Data, and Metaheuristic Optimization
A Secure Framework for Mitigating Man-in-the- Middle Attacks in 5G-IoT Using AMQTT and Smart PMD Key Exchange
Multi-Gate Mixture-of-Experts with Explanation for Predictive Computational Personality Analysis
Research on an Interpretable Grey Wolf Optimization-Based Ensemble Machine Learning Model for Identifying Heterogeneity of Bladder Cancer Based on Immunological Microenvironment
Interpretable ADHD Classification using Hybrid CatBoost-MLP with Early Fusion of Structural MRI and Clinical Variables Using SHAP-Guided Ensemble Methods
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