关注
Tirusew Asefa
Tirusew Asefa
Manager, Planning & System Decision Support, Tampa Bay Water, Courtesy Professor at USF
在 tampabaywater.org 的电子邮件经过验证
标题
引用次数
引用次数
年份
Multi-time scale stream flow predictions: The support vector machines approach
T Asefa, M Kemblowski, M McKee, A Khalil
Journal of hydrology 318 (1-4), 7-16, 2006
3462006
SOIL MOISTURE PREDICTION USING SUPPORT VECTOR MACHINES1
MK Gill, T Asefa, MW Kemblowski, M McKee
JAWRA Journal of the American Water Resources Association 42 (4), 1033-1046, 2006
3042006
Performance evaluation of a water resources system under varying climatic conditions: Reliability, Resilience, Vulnerability and beyond
T Asefa, J Clayton, A Adams, D Anderson
Journal of Hydrology 508, 53-65, 2014
1632014
Support vectors–based groundwater head observation networks design
T Asefa, MW Kemblowski, G Urroz, M McKee, A Khalil
Water Resources Research 40 (11), 2004
1152004
Effect of missing data on performance of learning algorithms for hydrologic predictions: Implications to an imputation technique
MK Gill, T Asefa, Y Kaheil, M McKee
Water resources research 43 (7), 2007
992007
Multiobjective analysis of chaotic dynamic systems with sparse learning machines
AF Khalil, M McKee, M Kemblowski, T Asefa, L Bastidas
Advances in Water Resources 29 (1), 72-88, 2006
922006
Support vector machines for nonlinear state space reconstruction: Application to the Great Salt Lake time series
T Asefa, M Kemblowski, U Lall, G Urroz
Water resources research 41 (12), 2005
682005
Sparse Bayesian learning machine for real‐time management of reservoir releases
A Khalil, M McKee, M Kemblowski, T Asefa
Water Resources Research 41 (11), 2005
582005
Support vector machines (SVMs) for monitoring network design
T Asefa, M Kemblowski, G Urroz, M McKee
Groundwater 43 (3), 413-422, 2005
582005
Improving short-term urban water demand forecasts with reforecast analog ensembles
D Tian, CJ Martinez, T Asefa
Journal of Water Resources Planning and Management 142 (6), 04016008, 2016
352016
BASIN SCALE WATER MANAGEMENT AND FORECASTING USING ARTIFICIAL NEURAL NETWORKS1
AF Khalil, M McKee, M Kemblowski, T Asefa
JAWRA Journal of the American Water Resources Association 41 (1), 195-208, 2005
322005
Impact of different types of ENSO conditions on seasonal precipitation and streamflow in the Southeastern United States
H Wang, T Asefa
International Journal of Climatology 38 (3), 1438-1451, 2018
292018
Proactive water shortage mitigation integrating system optimization and input uncertainty
H Wang, T Asefa, D Bracciano, A Adams, N Wanakule
Journal of Hydrology 571, 711-722, 2019
272019
Evaluation of impacts of future climate change and water use scenarios on regional hydrology
S Chang, W Graham, J Geurink, N Wanakule, T Asefa
Hydrology and Earth System Sciences 22 (9), 4793-4813, 2018
272018
Evaluation of water saving potential for short-term water demand management
H Wang, D Bracciano, T Asefa
Water Resources Management 34 (10), 3317-3330, 2020
242020
A tale of integrated regional water supply planning: Meshing socio-economic, policy, governance, and sustainability desires together
T Asefa, A Adams, I Kajtezovic-Blankenship
Journal of hydrology 519, 2632-2641, 2014
222014
Field‐Scale Application of Three Types of Neural Networks to Predict Ground‐Water Levels1
T Asefa, N Wanakule, A Adams
JAWRA Journal of the American Water Resources Association 43 (5), 1245-1256, 2007
182007
Application of decision-support tools for seasonal water supply management that incorporates system uncertainties and operational constraints
H Wang, T Asefa, N Wanakule, A Adams
Journal of Water Resources Planning and Management 146 (6), 05020008, 2020
172020
Support vector machines approximation of flow and transport models in initial groundwater contamination network design
T Asefa, MW Kemblowski
Eos Trans. AGU 83 (47), 2002
172002
Evaluating the potential impact of climate change on the hydrology of Ribb catchment, Lake Tana Basin, Ethiopia
DW Ayalew, T Asefa, MA Moges, SM Leyew
Journal of Water and Climate Change 13 (1), 190-205, 2022
152022
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