Results 121 to 130 of about 456,731 (293)

A machine learning-based comparative analysis of surrogate models for design optimisation in computational fluid dynamics. [PDF]

Heliyon, 2023
Mukhtar A, Yasir ASHM, Nasir MFM.
europepmc   +1 more source

Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer

Molecular Oncology, EarlyView.
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta, Yang Song, Madeleine Ndahayo, Anirudh Saxena, Theresa Guo, Dylan Z. Kelley, Jessica Gore, Andrew Hennigan, Alexa Anderson, John C. Papadimitriou, Daria A. Gaykalova   +10 more
wiley   +1 more source

Neural architecture search using network embedding and generative adversarial networks

Scientific Reports
Surrogate models are used by recently proposed algorithms as a means of forecasting neural architecture performance. Rather than training the network from scratch, which speeds up evaluation of performance in the search for neural architecture.
Morteza Yousefi, Vahid Mehrdad, Mohammad Bagher Dowlatshahi   +2 more
doaj   +1 more source

Multi-Objective Optimization of Thin-Walled Composite Axisymmetric Structures Using Neural Surrogate Models and Genetic Algorithms. [PDF]

Materials (Basel), 2023
Miller B, Ziemiański L.
europepmc   +1 more source

A surrogate FRAX model for Mongolia

Archives of Osteoporosis
Abstract Summary A surrogate FRAX® model for Mongolia has been constructed using age- and sex-specific hip fracture rates for mainland China and age- and sex-specific mortality rates from Mongolia. Introduction FRAX models are frequently requested for countries with little
Jaalkhorol, M., Johansson, H., Avirmed, S., Dashtseren, A., Bruyère, O., Lorentzon, M., Harvey, N.C., McCloskey, E.V., Kanis, J.A.   +8 more
openaire   +4 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Research on Surrogate Model of Dam Structural Behavior for Multi‐Output Problem

Engineering Reports
The establishment efficiency of the surrogate model is often affected by the multi‐output problem during the establishment process. It is an urgent issue to solve how to establish a multi‐output joint surrogate model more quickly while ensuring a certain
Yuan Qiao, Liang Jiaming, Li Zhanchao, Ebrahim Yahya Khailah   +3 more
doaj   +1 more source

Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data

IEEE Access
This study introduces a machine learning (ML)-based surrogate model for finite element analysis, designed to predict structural strain distributions using a minimal number of strategically placed virtual sensors.
Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi   +2 more
doaj   +1 more source

Continuous-Time Surrogate Models for Data-Driven Dynamic Optimization. [PDF]

ESCAPE, 2022
Beykal B, Diangelakis NA, Pistikopoulos EN.   +2 more
europepmc   +1 more source

Multi-fidelity reduced-order surrogate modelling

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
High-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can significantly limit the number of parameter configurations considered and/or time window evaluated. Multi-fidelity surrogate modelling aims to leverage less accurate, lower-fidelity models that are computationally ...
Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz   +5 more
openaire   +5 more sources