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

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Quantum technology is moving—albeit slowly—from theory to proof-of-concept in finance, and it may become one of the most disruptive forces in banking and fintech over the next decade.

Those stages often reflect cultural expectations rather than real user diversity. Advertisers treat transitions like marriage ...

Abstract: In In-band full-duplex (IBFD) transceivers, the motivation of using widely (augmented) linear or nonlinear structure has been elucidated by recent researches in terms of performance ...

Quantitative approaches to equity investing continue to introduce new sources of alpha. Recent advances in computing power, such as machine-learning and natural language processing are generating ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing ...

ABSTRACT: A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were ...

The integration of machine learning (ML) into the cattle industry is transforming the way health outcomes are predicted, offering unprecedented opportunities to improve animal welfare and production ...

Brain-computer interfaces (BCIs) represent a rapidly evolving field within human neuroscience, enabling direct link between the brain and external devices. BCI research is aiming at transitioning from ...

The Frequency Modulation Combined (FMC) waveform has delay (range)-Doppler (velocity) coupling resolution, and the traditional nonlinear high-resolution algorithms represented by Point-wise Product ...