A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...
Abstract: This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters. The enhanced algorithm, called ...
Abstract: Although the preclinical detection of Parkinson's disease (PD) has been explored, a practical, inexpensive, and overall screening diagnosis has yet to be made available. However, due to the ...
ABSTRACT: Epileptic seizures are characterized by abnormal neuronal discharges that cause significant disturbances in brain electrical activity. Electroencephalography (EEG) is widely used for ...
adAI (published as adaiml-tools) is a lightweight, modular, and high-performance machine learning library built from scratch in Python using NumPy, with an optional high-performance C++ backend.
To support maintaining and upgrading this project, please kindly consider Sponsoring the project developer. Any level of support is a great contribution here ️ This repository aims to provide simple ...
Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...
Generalization was assessed using an independent multilayer perceptron classifier across validation cohorts with differing tissue origins and sequencing technologies, demonstrating preservation of ...
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