Results 81 to 90 of about 25,295,142 (240)
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
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
The effect of high and low velocity-based training on the throwing performance of collegiate handball players. [PDF]
Abuajwa B, Hamlin M, Hafiz E, Razman R.
europepmc +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Sketch-Based Velocity Field Design using Latent Diffusion [PDF]
The fusion of velocity field creation and deep learning to enhance the effectiveness of flow simulation is both widely pursued and intricate. Existing methods are mainly based on generative adversarial networks(GANs) to generate the target velocity field
Peng, Yichen +3 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
Effects of Velocity-Based Training on Strength and Power in Elite Athletes-A Systematic Review. [PDF]
Włodarczyk M +3 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
The Role of Velocity-Based Training (VBT) in Enhancing Athletic Performance in Trained Individuals: A Meta-Analysis of Controlled Trials. [PDF]
Zhang X, Feng S, Peng R, Li H.
europepmc +1 more source
A predictive model for vertical ground reaction force during incline push-ups
Push-ups enhance upper body strength without special equipment, yet the impact of different inclinations on intensity is not well-understood. Although the load-velocity relationship is established in resistance training, its relevance to push-ups needs ...
Huimin Wu +3 more
doaj +1 more source

