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 ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Artificial intelligence-native observability startup Braintrust Data Inc. believes it’s on a fast track to becoming an ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Artificial intelligence-native observability startup Braintrust Data Inc. believes it’s on a fast track to becoming an ...

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...

All participants had adverse events, but most were moderate in severity ...

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, ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.