Results 141 to 150 of about 223,298 (311)
Surrogate Modelling for High-speed Rotating Flow Fields Based on Multi-fidelity Data Fusion
High-speed rotating flow fields play a pivotal role in the mechanical systems used for stable heavy isotopes. The high dimensional design space of such complex rotating machinery is characterized by strong nonlinearity and substantial parameter coupling.
Xiaowei XU +3 more
doaj +1 more source
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Modeling and the Use of Surrogate Endpoints: Is This a Valid Approach?
Abstract Development of novel colorectal cancer (CRC) screening tests is a dynamic field. Decision analytic modeling based on inputs derived from rigorous prospective studies informs CRC screening guidelines. Exploratory modeling may have a place in early phases of test development.
Ladabaum, Uri +5 more
openaire +2 more sources
Significant variations in tonality levels are frequently observed among nominally identical wind turbine drivetrains, both in industrial test setups and during field operations, posing challenges to compliance with noise emission standards.
Bart De Smet +5 more
doaj +1 more source
This study develops an efficient fatigue prediction framework for offshore wind turbine (OWT) monopile foundations under coupled wind–wave conditions using four surrogate models: XGBoost, Random Forest (RF), Support Vector Regression (SVR), and Gaussian ...
Chong Dai, Jinhai Zhao, Rui Sun
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. Although SAEAs use surrogate models that approximate the evaluations of solutions using machine learning techniques, prior research has not adequately investigated the impact of surrogate model accuracy on search performance and model ...
Yuki Hanawa +2 more
openaire +2 more sources
Heterogeneous Evolution of Surrogate Models
Due to the scale and computational complexity of current simulation codes, surrogate models have become indispensable tools for exploring and understanding the design space.
Prof Dirk Roose +4 more
core
International audienceEstimating manufacturing cost is a crucial step in evaluating the value of an aircraft design. However, this estimation is often performed only after the design and optimization phases are completed.
Lefebvre, Thierry +2 more
core +1 more source
A machine learning-based comparative analysis of surrogate models for design optimisation in computational fluid dynamics. [PDF]
Mukhtar A, Yasir ASHM, Nasir MFM.
europepmc +1 more source

