Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: Bayesian optimization (BO), a data-efficient method for expensive black-box optimization, has traditionally focused on single-task scenarios, ignoring potential correlations among related ...

Abstract: Large Language Models (LLMs), like those of the ChatGPT, Gemini, and Claude families, are increasingly being researched for their potential utilization in programming education. Traditional ...