Results 281 to 290 of about 432,940 (367)
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar+2 more
wiley +1 more source
Epidemiological Analysis of Upper Extremity Amputations From Lawn Mower-Related Injuries. [PDF]
Nemirov DA+4 more
europepmc +1 more source
Analytic morphing of wurtzite nanowire cross sections to arbitrary shapes yields numbers of nanowire atoms, of bonds between these and of nanowire interface bonds, plus the nanowire cross section area. The ratios of above variables help to interpret any spectroscopic nanowire data which depend on diameter and cross section shape, and can be applied to ...
Dirk König, Sean C. Smith
wiley +1 more source
A randomized controlled trial of timing and dosage of upper extremity rehabilitation in virtual environments in persons with subacute stroke. [PDF]
Patel J+9 more
europepmc +1 more source
SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes
The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
wiley +1 more source
An unusual case of deep vein thrombosis of the upper extremity following breast reduction. [PDF]
Kazaz G, Yılmaz B, Saçak B.
europepmc +1 more source
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain+2 more
wiley +1 more source