Search Results - "Hoang, Long P"

The Mekong's future flows under multiple drivers: How climate change, hydropower developments and irrigation expansions drive hydrological changes by Hoang, Long P., van Vliet, Michelle T.H., Kummu, Matti, Lauri, Hannu, Koponen, Jorma, Supit, Iwan, Leemans, Rik, Kabat, Pavel, Ludwig, Fulco

“…The river flow regime and water resources are highly important for economic growths, flood security, and ecosystem dynamics in the Mekong basin – an important…”
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Downscaling rainfall using deep learning long short‐term memory and feedforward neural network by Tran Anh, Duong, Van, Song P., Dang, Thanh D., Hoang, Long P.

“…Choosing downscaling techniques is crucial in obtaining accurate and reliable climate change predictions, allowing for detailed impact assessments of climate…”
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A framework for controllable Pareto front learning with completed scalarization functions and its applications by Tuan, Tran Anh, Hoang, Long P, Le, Dung D, Thang, Tran Ngoc

“…Pareto Front Learning (PFL) was recently introduced as an efficient method for approximating the entire Pareto front, the set of all optimal solutions to a…”
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The Cambodian Mekong floodplain under future development plans and climate change by Horton, Alexander J, Triet, Nguyen V. K, Hoang, Long P, Heng, Sokchhay, Hok, Panha, Chung, Sarit, Koponen, Jorma, Kummu, Matti

“…Water infrastructure development is considered necessary to drive economic growth in the Mekong region of mainland Southeast Asia. Yet the current…”
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Diagnosing the potential of hydro-climatic information services to support rice farming in northern Ghana by Nyadzi, Emmanuel, Nyamekye, Andy B., Werners, Saskia E., Biesbroek, Robbert G., Dewulf, Art, Slobbe, Erik Van, Long, Hoang P., Termeer, Catrien J.A.M., Ludwig, Fulco

“…•Biophysical and socio-institutional factors are critical for a successful hydro-climatic EVO.•Integrating indigenous and scientific forecast could improve…”
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Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization by Nguyen, Quang-Huy, Hoang, Long P, Viet, Hoang V, Le, Dung D

“…Pareto Set Learning (PSL) is a promising approach for approximating the entire Pareto front in multi-objective optimization (MOO) problems. However, existing…”
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A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications by Tuan, Tran Anh, Hoang, Long P, Le, Dung D, Thang, Tran Ngoc

“…Pareto Front Learning (PFL) was recently introduced as an efficient method for approximating the entire Pareto front, the set of all optimal solutions to a…”
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Improving Pareto Front Learning via Multi-Sample Hypernetworks by Hoang, Long P, Le, Dung D, Tuan, Tran Anh, Thang, Tran Ngoc

“…Pareto Front Learning (PFL) was recently introduced as an effective approach to obtain a mapping function from a given trade-off vector to a solution on the…”
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