This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

Advanced AI systems can appear helpful while learning behaviors that look deceptive, self-protective, or manipulative.

This study presents a hybrid binder that lowers embodied carbon by 45% and boosts concrete strength and durability using ...

The study, titled “Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence,” s ystematically analyzes how AI is being used to reduce costs and ...

Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

In many countries, hydropower provides a dominant share of the electricity supply. This dependence brings environmental benefits and competitive costs, but it also creates a vulnerability: When ...

Abstract: Traditional user interface layout design heavily relies on designers' subjective judgment and lacks effective quantitative assessment methods. This study aims to overcome this shortcoming.

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 ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...

ABSTRACT: The aim of this research article is to apply topological optimization gradient algorithm applied to 1D and 2D photonic charged slabs. We compute the topological gradient using min max method ...