화학공학소재연구정보센터
검색결과 : 136건
No. Article
1 In-process analysis of pharmaceutical emulsions using computer vision and artificial intelligence
Unnikrishnan S, Donovan J, Macpherson R, Tormey D
Chemical Engineering Research & Design, 166, 281, 2021
2 Computer-assisted demand-side energy management in residential smart grid employing novel pooling deep learning algorithm
Jeyaraj PR, Nadar ERS
International Journal of Energy Research, 45(5), 7961, 2021
3 Development of deep learning-based equipment heat load detection for energy demand estimation and investigation of the impact of illumination
Wei SY, Calautit J
International Journal of Energy Research, 45(5), 7204, 2021
4 Estimation of target station data using satellite data and deep learning algorithms
Yayla S, Harmanci E
International Journal of Energy Research, 45(1), 961, 2021
5 Fake metabolomics chromatogram generation for facilitating deep learning of peak-picking neural networks
Kanazawa S, Noda A, Ito A, Hashimoto K, Kunisawa A, Nakanishi T, Kajihara S, Mukai N, Iida J, Fukusaki E, Matsuda F
Journal of Bioscience and Bioengineering, 131(2), 207, 2021
6 Deep learning-based initial guess for minimum energy path calculations
Park HS, Lee SW, Kim JH
Korean Journal of Chemical Engineering, 38(2), 406, 2021
7 Image-based prediction of granular flow behaviors in a wedge-shaped hopper by combing DEM and deep learning methods
Liao ZH, Yang YZ, Sun CF, Wu RQ, Duan ZH, Wang YY, Li XP, Xu J
Powder Technology, 383, 159, 2021
8 Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations
Osarogiagbon AU, Khan F, Venkatesan R, Gillard P
Process Safety and Environmental Protection, 147, 367, 2021
9 Hybrid deep neural model for hourly solar irradiance forecasting
Huang X, Li Q, Tai YH, Chen ZQ, Zhang J, Shi JS, Gao BX, Liu WM
Renewable Energy, 171, 1041, 2021
10 Operation rule extraction based on deep learning model with attention mechanism for wind-solar-hydro hybrid system under multiple uncertainties *
Zhang ZD, Qin H, Li J, Liu YQ, Yao LQ, Wang YQ, Wang C, Pei SQ, Li PS, Zhou JZ
Renewable Energy, 170, 92, 2021