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 ...
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 ...
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.
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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