Explainable AI predicts strength of hybrid-reinforced welded aluminum joints
An optimized XGBoost model predicted the tensile strength of CNT–Si₃N₄-reinforced friction-welded aluminum joints from 25 experiments, while feature ablation showed ...
An optimized XGBoost model predicted the tensile strength of CNT–Si₃N₄-reinforced friction-welded aluminum joints from 25 experiments, while feature ablation showed ...
A LightGBM-based machine learning model predicts 28-day mortality in critically ill colorectal cancer patients, achieving strong internal performance while exposing ...
A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...
An adaptive porosity-based segmentation method called Smart Threshold replaces fixed thresholds in apple CT imaging, revealing cultivar-specific tissue architecture and ...
A deep learning framework called InvZW leaves images completely unaltered while training a neural network through noise-adversarial learning to extract ...
Distributed denial-of-service attacks remain among the most disruptive threats facing modern networks, and the machine learning systems designed to catch ...
A new open-source Python package called ROOFS benchmarks multiple feature selection methods on a researcher's own data, evaluating predictive performance ...
A new multi-granularity fuzzy rough feature selection method fuses algebraic and informational views, improving classification accuracy across 20 benchmark datasets.
Ground-based synthetic aperture radar has become one of the most informative instruments available for monitoring the surface kinematics of unstable ...
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© 2025 Scienmag - Science Magazine