From record-setting adventurers to diasporic filmmakers and chefs, these are the women defining the way we see—and move—around the world right now.
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...
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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Machine Learning project to predict water potability using supervised learning algorithms with data preprocessing, model comparison, and deployment using Gradio. Gradio. data preprocessing, model ...
Ce projet vise à anticiper les pénuries de carburant en Russie en analysant les signaux faibles (files d'attente, hausse des prix, panique) sur les canaux Telegram de logistique et de transport, ...
Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
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