| 1 |
MODAL ANALYSIS-BASED CLASSIFICATION OF LIQUID JETS IN CROSSFLOW
Mokhtarpour K, Jadidi M, Dolatabadi A
Atomization and Sprays, 31(7), 1, 2021 |
| 2 |
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 |
| 3 |
Improving the CFPP property of biodiesel via composition design: An intelligent raw material selection strategy based on different machine learning algorithms
Cui ZH, Huang S, Wang M, Nie KL, Fang YM, Tan TW
Renewable Energy, 170, 354, 2021 |
| 4 |
Power-draw prediction by random forest based on operating parameters for an industrial ball mill
Tohry A, Chelgani SC, Matin SS, Noormohammadi M
Advanced Powder Technology, 31(3), 967, 2020 |
| 5 |
Fast and effective methylene blue adsorption onto graphene oxide/amberlite nanocomposite: Evaluation and comparison of optimization techniques
Digeroglu Z, Kucukyildiz G, Hasimoglu A, Taktak F, Aciksoz N
Korean Journal of Chemical Engineering, 37(11), 1975, 2020 |
| 6 |
A double decomposition-based modelling approach to forecast weekly solar radiation
Prasad R, Ali M, Xiang Y, Khan H
Renewable Energy, 152, 9, 2020 |
| 7 |
Random forest regression for improved mapping of solar irradiance at high latitudes
Babar B, Luppino LT, Bostrom T, Anfinsen SN
Solar Energy, 198, 81, 2020 |
| 8 |
Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation
Prasad R, Ali M, Kwan P, Khan H
Applied Energy, 236, 778, 2019 |
| 9 |
The feasibility and importance of considering climate change impacts in building retrofit analysis
Shen PY, Braham W, Yi Y
Applied Energy, 233, 254, 2019 |
| 10 |
Data-driven techniques for fault diagnosis in power generation plants based on solid oxide fuel cells
Costamagna P, De Giorgi A, Moser G, Serpico SB, Trucco A
Energy Conversion and Management, 180, 281, 2019 |
