Data-driven dual-channel dynamic event-triggered load frequency control for multiarea power systems with uniform quantizer. [PDF]
Chen Y, Zhao H, Ogura M, Gao Y, Peng L.
europepmc +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
Correlating topological indices with physicochemical properties in 15 polycyclic aromatic hydrocarbons. [PDF]
Huang Z +5 more
europepmc +1 more source
A trust‐region funnel algorithm for gray‐box optimization
Abstract Gray‐box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black‐box models lacking analytic derivatives, remains a challenge. Trust‐region (TR) methods provide a robust framework for gray‐box problems through local reduced models (RMs) for black‐box components, but they are ...
Gul Hameed +4 more
wiley +1 more source
Immunomodulatory Effect of <i>Artemisia annua</i> L. Water Extract on Meat-Type Sheep via Activating TLR4/NF-κB Signaling Pathways. [PDF]
Gang G +8 more
europepmc +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
A Monolithic CMOS-MEMS SoC with 1.8 mm/s and 2 mK Resolution for Flow and Temperature Sensing via a Microcantilever Array. [PDF]
Wang F, Ouyang X, Hong L, Song X, Xu W.
europepmc +1 more source
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen +2 more
wiley +1 more source
High-value valorization of <i>Periplaneta americana</i> residue: intestinal health regulation in pre-bred hens and circular economy applications. [PDF]
Tao S +5 more
europepmc +1 more source

