| 1 |
FibeR-CNN: Expanding Mask R-CNN to improve image-based fiber analysis
Frei M, Kruis FE
Powder Technology, 377, 974, 2021 |
| 2 |
Deep learning methods and applications for electrical power systems: A comprehensive review
Ozcanli AK, Yaprakdal F, Baysal M
International Journal of Energy Research, 44(9), 7136, 2020 |
| 3 |
Proton exchange membrane fuel cell-powered bidirectional DC motor control based on adaptive sliding-mode technique with neural network estimation
Chi XC, Quan SW, Chen JZ, Wang YX, He HW
International Journal of Hydrogen Energy, 45(39), 20282, 2020 |
| 4 |
A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification
Kamaruddin B, Zabiri H, Amiruddin AAAM, Teh WK, Ramasamy M, Jeremiah SS
Journal of Process Control, 87, 1, 2020 |
| 5 |
Image-based size analysis of agglomerated and partially sintered particles via convolutional neural networks
Frei M, Kruis FE
Powder Technology, 360, 324, 2020 |
| 6 |
Spatio-temporal fusion neural network for multi-class fault diagnosis of wind turbines based on SCADA data
Pang YH, He Q, Jiang GQ, Xie P
Renewable Energy, 161, 510, 2020 |
| 7 |
Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations
Zang HX, Liu L, Sun L, Cheng LL, Wei ZN, Sun GQ
Renewable Energy, 160, 26, 2020 |
| 8 |
SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting
Feng C, Zhang J
Solar Energy, 204, 71, 2020 |
| 9 |
CCN activation of oxalic and malonic acid test aerosols with the University of Vienna cloud condensation nuclei counter
Giebl H, Berner A, Reischl G, Puxbaum H, Kasper-Giebl A, Hitzenberger R
Journal of Aerosol Science, 33(12), 1623, 2002 |
| 10 |
Diazasiline (Sinn) - Is There a Conflict Between Experiment and Theory
Ornellas FR, Ueno LT, Iwata S
Journal of Chemical Physics, 106(1), 151, 1997 |
