This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Abstract: To solve dynamic multiobjective optimization problems (DMOPs), the optimization algorithms are required to track the movement of the Pareto set after the environmental changes effectively.

Abstract: University students engaged in online learning often exhibit high levels of academic procrastination. Thus, various studies have investigated this phenomenon to provide solutions to mitigate ...