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Hanlin Sun, Wei Jie, Jonathan Loo, Liang Chen, Zhongmin Wang, Sugang Ma, Gang Li and Shuai Zhang
Presently, data that are collected from real systems and organized as information networks are universal. Mining hidden information from these data is generally helpful to understand and benefit the corresponding systems. The challenges of analyzing such...
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Rana Muhammad Adnan, Zhongmin Liang, Xiaohui Yuan, Ozgur Kisi, Muhammad Akhlaq and Binquan Li
Accurate predictions of wind speed and wind energy are essential in renewable energy planning and management. This study was carried out to test the accuracy of two different neuro fuzzy techniques (neuro fuzzy system with grid partition (NF-GP) and neur...
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Jun Wang, Zhongmin Liang, Xiaolei Jiang, Binquan Li and Li Chen
Real-time correction models provide the possibility to reduce uncertainties in flood prediction. However, most traditional techniques cannot accurately capture many sources of uncertainty and provide a quantitative evaluation. To account for a wide varie...
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Binquan Li, Zhongmin Liang, Jianyun Zhang, Xueqing Chen, Xiaolei Jiang, Jun Wang and Yiming Hu
Possible risks in reservoir flood control and regulation cannot be objectively assessed by deterministic flood forecasts, resulting in the probability of reservoir failure. We demonstrated a risk analysis of reservoir flood routing calculation accounting...
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Binquan Li, Wei Zhou, Yaoyang Zhao, Qin Ju, Zhongbo Yu, Zhongmin Liang and Kumud Acharya
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