Abstract: Model predictive control has been widely developed for electrical drive systems. The weighting factors are key parameters affecting the control performance of the motor. This paper proposes ...

When asked to think of a chemical reaction, you might picture bubbling liquids in a beaker, or maybe applying heat to a ...

Just like any living organism, the soil has its own metabolism. Plants, worms, insects, and most importantly, microorganisms ...

Dubbed Exaone 4.0, the AI model outperforms Alibaba’s Qwen 3 in maths, science and coding, according to LG AI Research.

Abiotic stresses, including salinity, drought, heat, cold, and heavy metal toxicity, represent a significant challenge to the ...

Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed ...

The methodology implements a linear regression artificial neural model to model and predicts catastrophic temperature variations that are a threat to fire-and-rescue personnel in enclosed burning ...

A dynamic model for a fermentation process equipped with an ex situ butanol recovery (termed “ESBR” hereafter) system is proposed for continuous production of biobutanol. Since the proposed ESBR ...

Intel Corp. is set to revamp its contract chip manufacturing business by pivoting away from its highly publicized 18A process and switching its attention to its next-generation 14A node in an ...

Brigham Young University graduate Jane Housley's research could help make a widely used wildfire modeling tool faster and more accurate when needed most.