Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

Compression-Based Complexity Analysis of Thalamic EEG Using Multiscale Preprocessing Techniques

Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...
GitHub

Echoden-sys/so-vits-svc-5.0

Download pretrain model sovits5.0.pretrain.pth, and put it into vits_pretrain/. python svc_inference.py --config configs/base.yaml --model ./vits_pretrain/sovits5.0 ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

chhornsolita/Sentiment_Analysis_of_Khmer_Text_Using_ML

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).
IEEE

Impact of Preprocessing on the Performance of Heart Sound Segmentation

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, responsible for an estimated 17.9 million deaths annually [1]. This underscores the urgent need for accurate, efficient, ...