Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

A team of researchers presents a novel interdisciplinary strategy to tackle the complex challenge of Scope 3 emissions within ...

IMD has established a dedicated functional group on the “Application of AI/ML in weather and climate,” and the scientists of ...

Rapid diagnosis of bacterial pneumonia is crucial for clinical diagnosis and treatment, but traditional methods are time-consuming. The wide application of machine learning techniques in medical ...

ABSTRACT: Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and ...

Abstract: The exponential growth of sophisticated cyber threats has necessitated the evolution from traditional static honeypots to intelligent, adaptive deception systems. This systematic literature ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: Accurate fall risk prediction is crucial for early intervention and prevention, effectively reducing the incidence of falls and the associated harm. This paper proposes a non-contact gait ...