Results 121 to 130 of about 11,832,628 (252)
Blue and beige striped Crimplene coat. Label: Cotsmoor of London. Maker: Cotsmoor of London. Date: 1970 (circa) - from the The Betty Smithers Design Collection at Staffordshire University.
The Betty Smithers Design Collection at Staffordshire University +1 more
core
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
white aThe young one is the...is the white coat - pup; when 'tis... 'tis pupped 'tis call...'tis called a pup. Well then after she gets nursed a little bit she begins to perk up an' she...she got a beautiful coat on it.
core +1 more source
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Photos of the White Coat Ceremony. During the ceremony the faculty members cloak the PA students in their first white coat. They accept their commitment to professionalism, humanism, integrity, and ethics.https://digitalcommons.butler.edu/pa_scrapbook ...
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A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source

