QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Abstract: ECG signals are vital for diagnosing cardiovascular diseases, but artifacts like power line interference, baseline wander, and motion artifacts hinder accurate interpretation. This study ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity ...

Goldman Sachs is upgraded to BUY, with 10% total return potential and exceptional momentum following a strategic pivot. GS's exit from the Apple credit card business enables renewed focus on core ...

Abstract: Entrepreneurship in rural areas greatly assists in increasing economic equality and lowering differences between regions. It is challenging to accurately foresee if rural entrepreneurial ...

A team of academics from the CISPA Helmholtz Center for Information Security in Germany has disclosed the details of a new hardware vulnerability affecting AMD processors. The security flaw, codenamed ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...