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 ...
Abstract: In this article, a secure, sustainable, and fast charging strategy based on an advanced electro-thermal-degradation (ETD) model is proposed for lithium-ion batteries. In this ETD model, ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Methods: To establish a comprehensive forecasting model that uses hierarchical time series forecasting through a bottom-up reconciliation approach augmented by machine learning algorithms. We employ ...
Exploring Novel Data Sources to Improve Health and Welfare in Dairy Cattle ...
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
A comprehensive machine learning system for generating trading signals (BUY/HOLD/SELL) across stocks, ETFs, and cryptocurrencies using technical analysis indicators. This project implements a Random ...
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