Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have gained increasing attention for addressing expensive many-objective optimization problems (EMaOPs). Generally, the same type of ...

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...

This toolkit provides an automatic computational workflow for designing steel alloys, a case study of medium-manganese steels. It integrates thermodynamic calculations (using TC-Python), kinetic ...

Now generally available, latest update to the Kotlin language includes a checker for unused return values and a host of other ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages ...

The quality of AI-generated artifacts and answers improves when certificates are demanded, even if the evidence provided by ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.

Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The Head of Technical Data and Analytics Services will lead the development and implementation of data-driven analytical strategies for the National Police Chiefs Council (NPCC) National Data and ...