متابعة
Vladan Babovic
Vladan Babovic
Department of Civil and Environmental Engineering, National University Singapore
بريد إلكتروني تم التحقق منه على nus.edu.sg - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
On inducing equations for vegetation resistance
MJ Baptist, V Babovic, J Rodríguez Uthurburu, M Keijzer, ...
Journal of Hydraulic Research 45 (4), 435-450, 2007
5842007
GENETIC PROGRAMMING AND ITS APPLICATION IN REAL‐TIME RUNOFF FORECASTING1
ST Khu, SY Liong, V Babovic, H Madsen, N Muttil
JAWRA Journal of the American Water Resources Association 37 (2), 439-451, 2001
2622001
Adaptation Pathways and Real Options Analysis: An approach to deep uncertainty in climate change adaptation policies
J Buurman, V Babovic
Policy and Society 35 (2), 137-150, 2016
2382016
Genetic programming as a model induction engine
V Babovic, M Keijzer
Journal of Hydroinformatics 2 (1), 35-60, 2000
2372000
EC-SVM approach for real-time hydrologic forecasting
X Yu, SY Liong, V Babovic
Journal of Hydroinformatics 6 (3), 209-223, 2004
2042004
Rainfall‐Runoff Modeling Based on Genetic Programming
V Babovic, M Keijzer
Nordic Hydrology, 2002
2002002
GENETIC PROGRAMMING: A NEW PARADIGM IN RAINFALL RUNOFF MODELING1
SY Liong, TR Gautam, ST Khu, V Babovic, M Keijzer, N Muttil
JAWRA Journal of the American Water Resources Association 38 (3), 705-718, 2002
1582002
Bioretention systems for stormwater management: Recent advances and future prospects
K Vijayaraghavan, BK Biswal, MG Adam, SH Soh, DL Tsen-Tieng, ...
Journal of Environmental Management 292, 112766, 2021
1552021
Neural networks as routine for error updating of numerical models
V Babovic, R Caňizares, HR Jensen, A Klinting
Journal of Hydraulic Engineering 127 (3), 181-193, 2001
1542001
Hydrologically informed machine learning for rainfall-runoff modelling: towards distributed modelling
HMVV Herath, J Chadalawada, V Babovic
Hydrology and Earth System Sciences Discussions 25 (8), 4373–4401, 2021
1382021
Uncovering flooding mechanisms across the contiguous United States through interpretive deep learning on representative catchments
S Jiang, Y Zheng, C Wang, V Babovic
Water Resources Research 58 (1), e2021WR030185, 2022
1322022
A data mining approach to modelling of water supply assets
V Babovic, JP Drecourt, M Keijzer, PF Hansen
Urban water 4 (4), 401-414, 2002
1312002
A real options approach to the design and architecture of water supply systems using innovative water technologies under uncertainty
SX Zhang, V Babovic
Journal of Hydroinformatics 14 (1), 13-29, 2012
1262012
Analysis of variability and trends of precipitation extremes in Singapore during 1980–2013
X Li, X Wang, V Babovic
International Journal of Climatology 38 (1), 125-141, 2018
1232018
Valuing flexibilities in the design of urban water management systems
Y Deng, MA Cardin, V Babovic, D Santhanakrishnan, P Schmitter, ...
Water research 47 (20), 7162-7174, 2013
1202013
Hydrologically informed machine learning for rainfall‐runoff modeling: A genetic programming‐based toolkit for automatic model induction
J Chadalawada, H Herath, V Babovic
Water Resources Research 56 (4), e2019WR026933, 2020
1192020
Dimensionally aware genetic programming
M Keijzer, V Babovic
Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999
1181999
Data mining in hydrology.
V Babovic
1152005
The evolution of equations from hydraulic data Part I: Theory
V Babovic, MB Abbott
Journal of hydraulic research 35 (3), 397-410, 1997
1041997
Emergence, evolution, intelligence: hydroinformatics
V Babovic
Delft: Delft University of Technology, 1996
101*1996
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مقالات 1–20