Results 171 to 180 of about 5,830,276 (292)
Event-Preserving Neural Network Denoising for Impedance Flow Cytometry. [PDF]
Shi L, Jindrich C.
europepmc +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Automated measurement of Little's Irregularity Index on intraoral photographs using a convolutional neural network. [PDF]
Kanemeier M +4 more
europepmc +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
pyhgf: A neural network library for predictive coding. [PDF]
Legrand N +6 more
europepmc +1 more source
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
Identifiable regional and neural network abnormalities in early childhood anxiety. [PDF]
Thompson KI +7 more
europepmc +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
Neural Network Based Point Spread Function Deconvolution For Astronomical Applications
Hong Wang +5 more
doaj +1 more source
On-chip non-volatile all-optical residual neural network accelerator. [PDF]
Quan Z +6 more
europepmc +1 more source

