Results 281 to 290 of about 432,940 (367)

Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion

open access: yesAdvanced Sustainable Systems, EarlyView.
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

Analytical Description of Nanowires: Morphing Wurtzite Structure Cross Sections to Match Arbitrary Convex Shapes

open access: yesAdvanced Theory and Simulations, EarlyView.
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]

open access: yesSci Rep
Patel J   +9 more
europepmc   +1 more source

Efficacy of color flow duplex imaging for proximal upper extremity venous outflow obstruction in hemodialysis patients

open access: bronze, 1998
Marc A. Passman   +7 more
openalex   +1 more source

SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes

open access: yesAdvanced Theory and Simulations, EarlyView.
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

NERVE ENTRAPMENTS OF THE UPPER EXTREMITY

open access: hybrid, 1999
Benjamin P. Levine   +2 more
openalex   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

open access: yesAdvanced Theory and Simulations, EarlyView.
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

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