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

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 ...

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

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

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

Artificial intelligence-native observability startup Braintrust Data Inc. believes it’s on a fast track to becoming an essentially infrastructure layer for AI models and agents in production after ...

Artificial intelligence-native observability startup Braintrust Data Inc. believes it’s on a fast track to becoming an essentially infrastructure layer for AI models and agents in production after ...

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 ...

Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...

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.