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Reinforcement learning (RL) is a widely used learning paradigm that has shown significant successes in solving many hard AI problems including mastering real-time strategy games, autonomous car driving, and LLM model ali...

In response to the existing problems in the temperature monitoring of boreholes in high-temperature fire areas of open-pit coal mines, this study proposed an intelligent temperature monitoring and early warning system by...

This study investigates a fractional partial differential equation in the field of mathematical biology. The Bernoulli (G'⁄G)-expansion method is applied to solve this class of fractional-order nonlinear differential e...

This study introduces Felis Catus Optimization (FCO), a novel nature‑inspired metaheuristic algorithm modeled on the ecological and adaptive behavioral dynamics of urban domestic cats. FCO divides its population into e...

This paper focuses on control systems for hybrid heat pumps that utilize the heat from return heat-ing water and outdoor air, designed to operate in district heating systems based on central heating plants. The aim of th...