Theo dơi
Senlin Zhu
Senlin Zhu
Mục liên kết không xác định
Email được xác minh tại nhri.cn
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach
R Graf, S Zhu, B Sivakumar
Journal of Hydrology 578, 124115, 2019
1552019
Forecasting of water level in multiple temperate lakes using machine learning models
S Zhu, B Hrnjica, M Ptak, A Choiński, B Sivakumar
Journal of Hydrology 585, 124819, 2020
1122020
Mercury transport and fate models in aquatic systems: A review and synthesis
S Zhu, Z Zhang, D Žagar
Science of the Total environment 639, 538-549, 2018
1002018
Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models
S Zhu, S Heddam, EK Nyarko, M Hadzima-Nyarko, S Piccolroaz, S Wu
Environmental Science and Pollution Research 26, 402-420, 2019
962019
Modelling daily water temperature from air temperature for the Missouri River
S Zhu, EK Nyarko, M Hadzima-Nyarko
PeerJ 6, e4894, 2018
862018
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN
S Heddam, M Ptak, S Zhu
Journal of Hydrology 588, 125130, 2020
852020
Prediction of dissolved oxygen in urban rivers at the Three Gorges Reservoir, China: extreme learning machines (ELM) versus artificial neural network (ANN)
S Zhu, S Heddam
Water Quality Research Journal 55 (1), 106-118, 2020
772020
Forecasting surface water temperature in lakes: A comparison of approaches
S Zhu, M Ptak, ZM Yaseen, J Dai, B Sivakumar
Journal of Hydrology 585, 124809, 2020
702020
Extreme learning machine-based prediction of daily water temperature for rivers
S Zhu, S Heddam, S Wu, J Dai, B Jia
Environmental Earth Sciences 78, 1-17, 2019
672019
Energy price prediction using data-driven models: A decade review
H Lu, X Ma, M Ma, S Zhu
Computer Science Review 39, 100356, 2021
642021
Impacts of a large river-to-lake water diversion project on lacustrine phytoplankton communities
J Dai, S Wu, X Wu, X Lv, B Sivakumar, F Wang, Y Zhang, Q Yang, A Gao, ...
Journal of Hydrology 587, 124938, 2020
582020
River/stream water temperature forecasting using artificial intelligence models: a systematic review
S Zhu, AP Piotrowski
Acta Geophysica 68, 1433-1442, 2020
562020
Lake water-level fluctuation forecasting using machine learning models: a systematic review
S Zhu, H Lu, M Ptak, J Dai, Q Ji
Environmental Science and Pollution Research 27, 44807-44819, 2020
482020
Machine learning approaches for estimation of compressive strength of concrete
M Hadzima-Nyarko, EK Nyarko, H Lu, S Zhu
The European Physical Journal Plus 135 (8), 682, 2020
452020
Two hybrid data-driven models for modeling water-air temperature relationship in rivers
S Zhu, M Hadzima-Nyarko, A Gao, F Wang, J Wu, S Wu
Environmental Science and Pollution Research 26, 12622-12630, 2019
442019
Assessing the performance of a suite of machine learning models for daily river water temperature prediction
S Zhu, EK Nyarko, M Hadzima-Nyarko, S Heddam, S Wu
PeerJ 7, e7065, 2019
402019
Warming of lowland Polish lakes under future climate change scenarios and consequences for ice cover and mixing dynamics
S Piccolroaz, S Zhu, M Ptak, M Sojka, X Du
Journal of Hydrology: Regional Studies 34, 100780, 2021
352021
Identification of EDI trend using Mann-Kendall and Şen-innovative trend methods (Uttarakhand, India)
A Malik, A Kumar, QB Pham, S Zhu, NTT Linh, DQ Tri
Arabian Journal of Geosciences 13, 1-15, 2020
342020
Effects of water diversion from Yangtze River to Lake Taihu on the phytoplankton habitat of the Wangyu River channel
J Dai, S Wu, X Wu, W Xue, Q Yang, S Zhu, F Wang, D Chen
Water 10 (6), 759, 2018
282018
State-of-the art-powerhouse, dam structure, and turbine operation and vibrations
ZM Yaseen, AMS Ameen, MS Aldlemy, M Ali, H Abdulmohsin Afan, S Zhu, ...
Sustainability 12 (4), 1676, 2020
272020
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