Practical Application: The authors propose QFI-Informed Mutation (QIm), a heuristic that adapts mutation probabilities using diagonal QFI entries. QIm outperforms uniform and random-restart baselines, ...

Parameter estimation and optimisation in fuel cells are critical in developing robust and predictive models necessary for improving their efficiency, longevity, and overall performance. At the heart ...

SEATTLE--(BUSINESS WIRE)--QuantConnect, an open-source algorithmic trading platform, today announced a cloud-based parameter optimization service to help quants detect overfit parameters. Available ...

RNA interference (RNAi), an important tool for gene expression and gene function analyses, can be induced by the introduction of sequence-specific small interfering RNAs (siRNAs) into cells. For an ...

An Indian-Ethiopian research group developed a datasheet-based approach for PV system parameter estimations that offers the advantage of not requiring time-consuming and expensive extensive ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

Aiming to further improve telecommunication quality, KDDI and KDDI Research have introduced a technology in which multiple ...