Details | |
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Project Title |
Two-dimensional deep learning long-term reservoir inflow forecasting considering the vagaries of climate change |
Location | Sg Long Campus |
Stipend | RM2,500.00 (Full Tuition Fee Scholarship for candidate with CGPA: 3.50 and above T&C). |
Education Level | Master's degree Holder |
Specific Skills / Knowledge Required | Engineering / Science background |
Job Description |
(1) To formulate a two-dimensional deep learning forecasting algorithm in capturing the spatial temporal dependency of reservoir inflow; (2) To investigate the mechanism of data transformation and meta-heuristic approaches in complementing the deep learning algorithm under a large amount of data; (3) To elucidate the underlying roles of climate indices on the accuracy of long-term reservoir inflow forecasting under the changing climate. |
How to Apply | If you are interested, please contact Ir Dr Huang Yuk Feng via email at huangyf@utar.edu.my |