화학공학소재연구정보센터
검색결과 : 50건
No. Article
1 Comparison of UV- and Raman-based monitoring of the Protein A load phase and evaluation of data fusion by PLS models and CNNs
Rolinger L, Rudt M, Hubbuch J
Biotechnology and Bioengineering, 118(11), 4255, 2021
2 Rapid and non-destructive determination of protein and starch content in agricultural powders using near-infrared and fluorescence spectroscopy, and data fusion
Vitelli M, Mehrtash H, Assatory A, Tabtabaei S, Legge RL, Rajabzadeh AR
Powder Technology, 381, 620, 2021
3 Introducing a hybrid artificial intelligence method for high-throughput modeling and optimizing plant tissue culture processes: the establishment of a new embryogenesis medium for chrysanthemum, as a case study
Hesami M, Naderi R, Tohidfar M
Applied Microbiology and Biotechnology, 104(23), 10249, 2020
4 An Optimal Data Fusion Algorithm in the Presence of Unknown Cross Covariances
Zhang XH
IEEE Transactions on Automatic Control, 65(3), 1226, 2020
5 Study on the operating characteristics of a solar heat pump water heater based on data fusion
Xian T, Wu JH, Zhang X
Solar Energy, 212, 113, 2020
6 Data fusion in predicting internal heat gains for office buildings through a deep learning approach
Wang Z, Hong TZ, Piette MA
Applied Energy, 240, 386, 2019
7 Nonlinear state estimation with delayed measurements using data fusion technique and cubature Kalman filter for chemical processes
Zhao LQ, Wang RT, Wang JL, Yu T, Su AD
Chemical Engineering Research & Design, 141, 502, 2019
8 Data fusion analysis applied to different climate change models: An application to the energy consumptions of a building office
Guarino F, Croce D, Tinnirello I, Cellura M
Energy and Buildings, 196, 240, 2019
9 Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling
Mishra P, Nordon A, Asaari MSM, Lian GP, Redfern S
Journal of Food Engineering, 249, 40, 2019
10 Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy
Xu M, Wang J, Gu S
Journal of Food Engineering, 241, 10, 2019