Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

The number of people living with dementia worldwide was estimated at 57 million in 2021 with nearly 10 million new cases recorded each year. In the U.S., dementia impacts more than 6 million lives, ...

Generative Engine Optimization (GEO) is a digital marketing discipline focused on optimizing content and online presence for ...

The Point-of-Care Molecular Diagnostics Market is experiencing robust expansion driven by rising demand for rapid, accurate, ...

Transformational Quarter Marked by Clinical Validation, Regulatory Progress, and Strategic Momentum in Commercial AI Platform Launch. LP-184 Phase 1a clinical trial results demons ...

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's. Alzheimer's disease affected 57 ...

This study provides a valuable genome-centric characterization of microbial communities across deep sediment cores from a Spartina patens salt marsh. The study provides claims on the metabolic ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Abstract: The presence of equality and inequality constraints is of significant importance in expensive constrained optimization. This study aims to develop a surrogate-assisted evolutionary algorithm ...