Abstract: Energy conservation has become a key concern in job shop manufacturing, where machines consume considerable energy even during idle periods. Traditional scheduling methods often prioritize ...

Abstract: To address the ethical and social risks of artificial intelligence, there is a growing interest in transparency and fairness, and various approaches that consider fairness in highly ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Why AI is becoming ldquo;native rdquo; to 5G/6G networks The evolution from 5G to 6G networks represents a dramatic leap in complexity that fundamentally challenges traditional network management ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial.

Hoboken, N.J., March 12, 2026 — When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on ...

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established constraints. Generative AI turns that on its head. It is an expansive force, ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

The final, formatted version of the article will be published soon. Robotic automation is a key technology that increases the efficiency and flexibility of manufacturing processes. However, one of the ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.