JAYASHREE CHADALAWADA
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Effect of randomly distributed geofibers on the piping behaviour of embankments constructed with fly ash as a fill material
A Das, C Jayashree, BVS Viswanadham
Geotextiles and Geomembranes 27 (5), 341-349, 2009
422009
A genetic programming approach to system identification of rainfall-runoff models
J Chadalawada, V Havlicek, V Babovic
Water Resources Management 31 (12), 3975-3992, 2017
172017
Predictors of academic performance of medical undergraduate students of microbiology class in Kolkata
SS Roy, J Chadalawada
International Journal of Medicine and Public Health 4 (4), 2014
142014
Review and comparison of performance indices for automatic model induction
J Chadalawada, V Babovic
Journal of Hydroinformatics 21 (1), 13-31, 2019
92019
Assessment of Earth Observation data content based on data compression-application to settlements understanding
J Chadalawada, D Espinoza-Molina, M Datcu
2012 IEEE International Geoscience and Remote Sensing Symposium, 6130-6133, 2012
52012
SAR image content retrieval by speckle robust compression based methods
D Espinoza-Molina, J Chadalawada, M Datcu
EUSAR 2014; 10th European Conference on Synthetic Aperture Radar, 1-4, 2014
32014
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
22020
Genetic Programming for Automatic Hydrological Modelling
J Chadalawada, V Babovic
EGUGA, 15990, 2017
12017
Hydrologically Informed Machine Learning for Rainfall-Runoff Modelling: Towards Distributed Modelling
HMVV Herath, J Chadalawada, V Babovic
Hydrology and Earth System Sciences Discussions, 1-42, 2020
2020
Physics Informed Machine Learning of Rainfall-Runoff Processes
V Babovic, J Chadalawada, H Mudiyanselage Viraj Vidura Herath
EGU General Assembly Conference Abstracts, 12303, 2020
2020
Data Driven Modelling and Knowledge Discovery in Water Resources Engineering
J Chadalawada
PQDT-Global, 2017
2017
Towards improving the knowledge of underlying mechanisms of Rainfall-Runoff process using Genetic Programming
J Chadalawada, V Babovic
EGUGA, EPSC2016-5457, 2016
2016
Corrected Proof
J Chadalawada, V Babovic
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Artiklar 1–13