Results 111 to 120 of about 461,664 (195)

4E analysis of a two-stage refrigeration system through surrogate models based on response surface methods and hybrid grey wolf optimizer. [PDF]

PLoS One, 2023
Ahmed R, Mahadzir S, Mota-Babiloni A, Al-Amin M, Usmani AY, Ashraf Rana Z, Yassin H, Shaik S, Hussain F.   +8 more
europepmc   +1 more source

Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate models. [PDF]

MRS Bull, 2022
Jin SA, Kämäräinen T, Rinke P, Rojas OJ, Todorović M.   +4 more
europepmc   +1 more source

Human surrogate models of central sensitization: A critical review and practical guide. [PDF]

Eur J Pain, 2021
Quesada C, Kostenko A, Ho I, Leone C, Nochi Z, Stouffs A, Wittayer M, Caspani O, Brix Finnerup N, Mouraux A, Pickering G, Tracey I, Truini A, Treede RD, Garcia-Larrea L.   +14 more
europepmc   +1 more source

A flexible framework for hyperparameter optimization using homotopy and surrogate models. [PDF]

Sci Rep
Abraham SJ, Maduranga KDG, Kinnison J, Carmichael Z, Hauenstein JD, Scheirer WJ.   +5 more
europepmc   +1 more source

Surrogate Models for CO₂ Utilization Pathways: Accelerating Industrial Park Design and Enterprise-Wide Optimization. [PDF]

ACS Omega
Faadil M, Alhajeri MS, Almansoori A, Elkamel A.   +3 more
europepmc   +1 more source

Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models. [PDF]

Sensors (Basel), 2021
Ávila-Gutiérrez MJ, Aguayo-González F, Lama-Ruiz JR.   +2 more
europepmc   +1 more source

Integrating Machine Learning with Hybrid and Surrogate Models to Accelerate Multiscale Modeling of Acute Respiratory Infections. [PDF]

Viruses
Korzin A, Koshkareva M, Leonenko V.
europepmc   +1 more source

Development of machine learning surrogate models for slope stability prediction using AI techniques: a case study of the Meizhou landslide. [PDF]

Sci Rep
Khan MI, Fei J, Chen X, Hamza M.
europepmc   +1 more source

Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium. [PDF]

R Soc Open Sci, 2021
Cai L, Ren L, Wang Y, Xie W, Zhu G, Gao H.   +5 more
europepmc   +1 more source

Using Adaptive Surrogate Models to Accelerate Multi-Objective Design Optimization of MEMS. [PDF]

Micromachines (Basel)
Nazari A, Aghajani A, Buhr P, Park B, Wang Y, Shafai C.   +5 more
europepmc   +1 more source