Results 201 to 210 of about 157,751 (260)

Automatic identification of anatomical landmarks in three-dimensional computed tomography/cone-beam computed tomography: a scoping review. [PDF]

Front Dent Med
Wu Y, Zhai J, Wang Y, Zhang Y, Wang X, Wang C, Huang L, Jiang Y.   +7 more
europepmc   +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

Benchmarking deep learning methods for Cα atom prediction in cryo-EM density maps. [PDF]

Bioinformatics
Zhang T, Liu Z, Ma Y, Feng C, Han R.
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
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, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Development and validation of a rule-based tool for quality management reporting in a genetics laboratory. [PDF]

Pract Lab Med
Trad F, Doghman J, Sayegh S, Chehab A, Assaf N.   +4 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
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, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

A fully integrated sample-to-answer molecular diagnostic platform for rapid identification of four major <i>Aspergillus</i> species. [PDF]

Front Microbiol
Oh EH, Kang J, Jin D, Yoo C, Park J, Won EJ.   +5 more
europepmc   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
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, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Use of large language models for providing automated feedback in medical imaging education: a systematic review. [PDF]

Front Med (Lausanne)
Al-Mashhadani MM, Ajaz F, Guraya SS, Ennab F.   +3 more
europepmc   +1 more source