| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A method of convolutional neural network based on frequency segmentation for monitoring the state of wind turbine blades
|
Zhu, Weijun
|
|
|
13 |
6 |
p.
|
article
|
| 2 |
Feature identification in complex fluid flows by convolutional neural networks
|
Wen, Shizheng
|
|
|
13 |
6 |
p.
|
article
|
| 3 |
Investigation and simulation of parabolic trough collector with the presence of hybrid nanofluid in the finned receiver tube
|
Javidan, M.
|
|
|
13 |
6 |
p.
|
article
|
| 4 |
Large eddy simulation of supersonic flow in ducts with complex cross-sections
|
Chen, Huifeng
|
|
|
13 |
6 |
p.
|
article
|
| 5 |
Machine learning-based stiffness optimization of digital composite metamaterials with desired positive or negative Poisson's ratio
|
Jiang, Xihang
|
|
|
13 |
6 |
p.
|
article
|
| 6 |
Machine learning of partial differential equations from noise data
|
Cao, Wenbo
|
|
|
13 |
6 |
p.
|
article
|
| 7 |
Machine learning potential for Ab Initio phase transitions of zirconia
|
Deng, Yuanpeng
|
|
|
13 |
6 |
p.
|
article
|
| 8 |
Piezomagnetic vibration energy harvester with an amplifier
|
Norenberg, João Pedro
|
|
|
13 |
6 |
p.
|
article
|
| 9 |
Reinforcement learning for wind-farm flow control: Current state and future actions
|
Abkar, Mahdi
|
|
|
13 |
6 |
p.
|
article
|
| 10 |
Statistical learning prediction of fatigue crack growth via path slicing and re-weighting
|
Zhao, Yingjie
|
|
|
13 |
6 |
p.
|
article
|
Journal description