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Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

Abstract Solar-powered electric-vehicle (EV) charging in tropical, PV-rich regions such as Uganda faces coupled stressors from high ambient temperature and intermittent solar irradiance, which can destabilize conventiona...

Abstract Curcumin, a natural polyphenol with multifaceted anticancer properties, faces significant clinical translation challenges due to poor solubility, rapid metabolism, and low bioavailability. Hydrogels, as biocompa...

Abstract The rising complexity of urban areas, along with growing public safety needs, has made intelligent video surveillance systems more essential. The current surveillance systems that rely on human observation and p...

Abstract The deep reinforcement learning techniques offers a novel approach to real-time control for hybrid power flow controllers. This paper introduces a bus voltage optimization adjustment strategy, utilizing a Markov...

Abstract Building energy consumption is dominated by lighting and heating, ventilation, and air conditioning (HVAC) systems, whose operation is often inefficient due to inadequate control strategies and unreliable occupa...

Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...