Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
IEEE

DualCoAg-Net: A Federated Contrastive- Bayesian Multi-Task Framework for Robust and Explainable Skin Lesion Segmentation and Classification

Abstract: Accurate skin lesion segmentation and classification remain challenging due to inter-class similarity, boundary ambiguity, class imbalance, and domain shifts across datasets. We introduce ...
IEEE

An improved network intrusion detection technique based on k-means clustering via Naïve bayes classification

Abstract: As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the network. Due to ...
GitHub

Hand-Drawn Shape Classifier

About Interactive hand-drawn shape classifier built from scratch using Python and NumPy. Implements Linear Perceptron and Logistic Regression algorithms with a real-time Gradio web interface.
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).