Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Institutional trading desks today operate in an increasingly fragmented and automated market, where execution quality depends on both advanced technology and deep market expertise. At Rosenblatt ...

Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...

PlusTraders has launched a new trading algorithm that leverages AI and machine learning to enhance profitability in crypto trading. This development signifies a major advancement in trading technology ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...

Abstract: Given the fact that smart grids integrate distributed energy resources and advance communication technologies, which have high security vulnerability to the attack of denying service (DoS), ...

See /GLS/README.md for detailed documentation of this innovation. Population size: 200 Maximum generations: 300 Random mating probability (RMP): 0.4 Mutation rate: 0. ...

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...