화학공학소재연구정보센터
검색결과 : 142건
No. Article
91 Experimental and deep learning artificial neural network approach for evaluating grid-connected photovoltaic systems
Kazem HA, Yousif J, Chaichan MT, Al-Waeli AHA
International Journal of Energy Research, 43(14), 8572, 2019
92 Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling
Radaideh MI, Kozlowski T
International Journal of Energy Research, 43(14), 7866, 2019
93 Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks
Liu JW, Li Q, Chen WR, Yan Y, Qiu YB, Cao TQ
International Journal of Hydrogen Energy, 44(11), 5470, 2019
94 Visual modeling of laser-induced dough browning
Chen PY, Blutinger JD, Meijers Y, Zheng CX, Grinspun E, Lipson H
Journal of Food Engineering, 243, 9, 2019
95 Gaussian feature learning based on variational autoencoder for improving nonlinear process monitoring
Zhang ZH, Jiang T, Zhan CJ, Yang YP
Journal of Process Control, 75, 136, 2019
96 A deep autoencoder feature learning method for process pattern recognition
Yu JB, Zheng XY, Wang SJ
Journal of Process Control, 79, 1, 2019
97 DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
Maggipinto M, Beghi A, McLoone S, Susto GA
Journal of Process Control, 84, 24, 2019
98 DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
Maggipinto M, Beghi A, McLoone S, Susto GA
Journal of Process Control, 84, 24, 2019
99 Flotation froth image recognition with convolutional neural networks
Fu Y, Aldrich C
Minerals Engineering, 132, 183, 2019
100 Deep learning discrimination of quartz and resin in optical microscopy images of minerals
Iglesias JCA, Santos RBM, Paciornik S
Minerals Engineering, 138, 79, 2019