| 1 |
Acoustic signal based fault detection on belt conveyor idlers using machine learning
Liu XW, Pei DL, Lodewijks G, Zhao ZY, Mei J
Advanced Powder Technology, 31(7), 2689, 2020 |
| 2 |
인공지능 기반 질소산화물 배출량 예측을 위한 연구모형 개발
조하늬, 박지수, 윤용주
Korean Chemical Engineering Research, 58(4), 588, 2020 |
| 3 |
Pressure drops of fresh cemented paste backfills through coupled test loop experiments and machine learning techniques
Qi CC, Chen QS, Dong XJ, Zhang QL, Yaseen ZM
Powder Technology, 361, 748, 2020 |
| 4 |
Information value-based optimization of structural and environmental monitoring for offshore wind turbines support structures
Long LJ, Mai QA, Morato PG, Sorensen JD, Thons S
Renewable Energy, 159, 1036, 2020 |
| 5 |
Building heating and cooling load under different neighbourhood forms: Assessing the effect of external convective heat transfer
Shen PY, Dai MK, Xu P, Dong W
Energy, 173, 75, 2019 |
| 6 |
Implementation of machine learning based real time range estimation method without destination knowledge for BEVs
Yavasoglu HA, Tetik YE, Gokce K
Energy, 172, 1179, 2019 |
| 7 |
Statistical indicator for the detection of anomalies in gas, electricity and water consumption: Application of smart monitoring for educational buildings
Akil M, Tittelein P, Defer D, Suard F
Energy and Buildings, 199, 512, 2019 |
| 8 |
Direct and simultaneous determination of four phenolic antioxidants in biodiesel using differential pulse voltammetry assisted by artificial neural networks and variable selection by decision trees
Schaumloffel LD, Dambros JWV, Fernandes PRB, Gutterres M, Piatnicki CMS
Fuel, 236, 803, 2019 |
| 9 |
A decision tree based decomposition method for oil refinery scheduling
Gao XY, Huang DX, Jiang YH, Chen T
Chinese Journal of Chemical Engineering, 26(8), 1605, 2018 |
| 10 |
Development of a CO2 emission benchmark for achieving the national CO2 emission reduction target by 2030
Jeong K, Hong T, Kim J
Energy and Buildings, 158, 86, 2018 |
