IEEE

Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction

Abstract: Early detection of lung cancer is crucial for improving patient survival and reducing mortality. However, medical datasets often face challenges like irrelevant features and class imbalance, ...
IEEE

Learning the Optimal Discriminant SVM With Feature Extraction

Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
GitHub

TensorFlow Lite Micro Library for Arduino

This is a port of the TensorFlow Lite Micro Library to the Arduino platform, aimed at enabling Tiny Machine Learning (TinyML) experiments on all Arduino boards with mbed or ESP32 architecture. Tested ...