Results 201 to 210 of about 2,755,023 (338)
Optimization Methods in Mathematical Finance
Ali Devin Sezer, Gerhard‐Wilhelm Weber
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CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Study on the climate impacts on the reservoir waterlevel. [PDF]
Cui X, Liu L.
europepmc +1 more source
On pathwise functional Itô calculus and its applications to mathematical finance [PDF]
Iryna Voloshchenko
openalex
Degenerate-elliptic operators in mathematical finance and higher-order\n regularity for solutions to variational equations [PDF]
Paul M. N. Feehan, Camelia A. Pop
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A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Understanding homeowner decision-making through demographics: Barriers to housing retrofit at scale. [PDF]
Panakaduwa C, Coates P, Munir M.
europepmc +1 more source
A journey through second order BSDEs and other contemporary issues in mathematical finance
Dylan Possamaï, TOUZI, Nizar
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Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source

