| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Aircraft Engine Remaining Useful Life Prediction using neural networks and real-life engine operational data
|
Szrama, Slawomir
|
|
|
192 |
C |
p.
|
artikel
|
| 2 |
A mixed cell compressed sparse row for time domain boundary element method in elastodynamics
|
Zhou, Weiyu
|
|
|
192 |
C |
p.
|
artikel
|
| 3 |
An offline coupling approach for efficient SPH simulations of long-distance tsunami events using wave source boundary condition
|
Hwang, Young Kwang
|
|
|
192 |
C |
p.
|
artikel
|
| 4 |
A novel interval matrix stiffness method for the analysis of steel frames with uncertain semi-rigid connections
|
Genovese, Federica
|
|
|
192 |
C |
p.
|
artikel
|
| 5 |
A novel train–bridge interaction computational framework based on a meshless box girder model
|
Shao, Zhanjun
|
|
|
192 |
C |
p.
|
artikel
|
| 6 |
Compressive strength and sensitivity analysis of fly ash composite foam concrete: Efficient machine learning approach
|
Zhang, Chen
|
|
|
192 |
C |
p.
|
artikel
|
| 7 |
Distributed virtual simulation experimental software for high-power electric traction system of 600 km/h high-speed maglev train
|
Li, Tao
|
|
|
192 |
C |
p.
|
artikel
|
| 8 |
Editorial Board
|
|
|
|
192 |
C |
p.
|
artikel
|
| 9 |
Extreme fine-tuning and explainable AI model for non-destructive prediction of concrete compressive strength, the case of ConcreteXAI dataset
|
Guzmán-Torres, J.A.
|
|
|
192 |
C |
p.
|
artikel
|
| 10 |
Mechanics–thermotics–chemistry coupling response model and numerical simulation of reactive materials under impact load
|
Xiao, Jianguang
|
|
|
192 |
C |
p.
|
artikel
|
| 11 |
MetamaterialFinder: A software framework for discovering and analyzing mechanical metamaterials based on simple closed curves
|
Fleisch, Mathias
|
|
|
192 |
C |
p.
|
artikel
|
| 12 |
Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm
|
Fan, Mengtian
|
|
|
192 |
C |
p.
|
artikel
|
| 13 |
Prediction model for high arch dam stress during the operation period using LightGBM with MSSA and SHAP
|
Li, Bo
|
|
|
192 |
C |
p.
|
artikel
|
| 14 |
Slope stability prediction based on GSOEM-SV: A mobile application practicably deploy in engineering verification
|
Wang, Xiaolong
|
|
|
192 |
C |
p.
|
artikel
|
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