Results 191 to 200 of about 17,806 (305)
Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings. [PDF]
Khafagy M, Khafagy M, Swillam MA.
europepmc +1 more source
ABSTRACT Background Although prophylactic broad‐spectrum antibiotics can reduce postoperative complications after pancreaticoduodenectomy (PD), the optimal regimen remains uncertain. This study evaluated the impact of prophylactic cefepime (CFPM) on surgical site infection (SSI) and severe morbidity after PD with preoperative biliary drainage.
Genki Watanabe +8 more
wiley +1 more source
Investigating the Optical Properties of Gold Nanorods Using Forward and Inverse Design. [PDF]
Islam S +3 more
europepmc +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Machine Learning-Enabled Intelligent Analysis of Surface-Enhanced Raman Scattering: Methods, Applications, and Perspectives. [PDF]
Li Z, Wang Y, Deng Z, Zhao J.
europepmc +1 more source
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Intertwining Operators Beyond the Stark Effect. [PDF]
Fanelli L +4 more
europepmc +1 more source
Identification and estimation by penalization in nonparametric instrumental regression [PDF]
The nonparametric estimation of a regression function x from conditional moment restrictions involving instrumental variables is considered. The rate of convergence of penalized estimators is studied in the case where x is not identified from the ...
FLORENS, Jean-Pierre +2 more
core
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
A Variable-Impulse Hammer Impact Test (VIHIT) Method for Improved Mode Shape Identification. [PDF]
Jensen A, Riley C.
europepmc +1 more source

