Abstract: This work focuses on the use of machine learning algorithms to estimate water quality based on several environmental variables including $\boldsymbol{p H}$, Iron, Nitrate, and other ...
Improving Robustness and Natural Accuracy in Adversarial Distillation with Important Sample Features
Abstract: Although adversarial training proves to be an effective method for training robust neural networks, its application is constrained by model capacity, making it challenging to implement in ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
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