IEEE

Stock Price Prediction for Stock Market Forecasting using Machine Learning

Abstract: Prediction of stock market returns is difficult because pricing changes often. The market is unpredictable and does not follow a clear pattern. This study builds a machine learning model to ...
IEEE

Asthma Disease Prediction using Machine Learning Classifiers

Abstract: Asthma is a chronic inflammatory disease that affects parts of the respiratory system of millions of people. It includes symptoms such as breathlessness and wheeze with the potential of life ...
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 ...

Xue Li Enhancing Energy Storage Systems Through Battery State-of-Health Estimation and Intelligent Control Strategies

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...
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 ...
eLife

A proteome-wide biochemical screen defines binding determinants of the core autophagy protein LC3B

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...