Работы, на которые ссылается эта работа

Работ: 72

Работа: Comment on hess-2021-98

Surface Water Mapping by Deep Learning
Furkan Isikdogan, Alan C. Bovik, Paola Passalacqua
Статья2017Цитирований: 3
ABI
Variability of <i>Escherichia coli</i> Concentrations in Rivers during Base‐Flow Conditions in New Zealand
Richard Muirhead, Esther D. Meenken
Статья2018Цитирований: 3
ABI
OZCAR: The French Network of Critical Zone Observatories
Jérôme Gaillardet, Isabelle Braud, Fatim Hankard +97
Статья2018Цитирований: 3
ABI
Automatic calibration and improvements on an instream chlorophyll a simulation in the HSPF model
Dong Hoon Lee, Jin Hwi Kim, Mi‐Hyun Park +2
Статья2019Цитирований: 3
ABI
A modified hydrological model for assessing effect of pH on fate and transport of Escherichia coli in the Athabasca River basin
Tesfa Worku Meshesha, Junye Wang, Nigus Demelash Melaku
Статья2020Цитирований: 3
ABI
Predicting Escherichia coli loads in cascading dams with machine learning: An integration of hydrometeorology, animal density and grazing pattern
Olufemi Abimbola, Aaron R. Mittelstet, Tiffany Messer +3
Статья2020Цитирований: 3
ABI
Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing
Kyle T. Peterson, Vasit Sagan, John J. Sloan
Статья2020Цитирований: 3
ABI
Evaluation of the soil and water assessment tool (SWAT) for simulating E. coli concentrations at the watershed-scale
Robert A. Sowah, Kenneth E. Bradshaw, Blake Snyder +2
Статья2020Цитирований: 3
ABI
Surface and sub-surface flow estimation at high temporal resolution using deep neural networks
Ather Abbas, Sang‐Soo Baek, Minjeong Kim +6
Статья2020Цитирований: 3
ABI
Understory Limits Surface Runoff and Soil Loss in Teak Tree Plantations of Northern Lao PDR
Layheang Song, Laurie Boithias, Oloth Sengtaheuanghoung +10
Статья2020Цитирований: 3
ABI
Modeling and Prioritizing Interventions Using Pollution Hotspots for Reducing Nutrients, Atrazine and E. coli Concentrations in a Watershed
Olufemi Abimbola, Aaron R. Mittelstet, Tiffany Messer +2
Статья2020Цитирований: 3
ABI
Quantifying the effect of overland flow on Escherichia coli pulses during floods: Use of a tracer-based approach in an erosion-prone tropical catchment
Laurie Boithias, Olivier Ribolzi, Guillaume Lacombe +13
Статья2020Цитирований: 3
ABI
Без названия
ДругоеЦитирований: 3
ABI
A Regional Semi-Distributed Streamflow Model Using Deep Learning
Zhongrun Xiang, İbrahim Demir, Ricardo Mantilla +1
Препринт2021Цитирований: 3
ABI
The Multiscale <scp>TROPIcal CatchmentS</scp> critical zone observatory <scp>M‐TROPICS</scp> dataset <scp>II</scp>: Land use, hydrology and sediment production monitoring in Houay Pano, northern Lao <scp>PDR</scp>
Laurie Boithias, Yves Auda, Stéphane Audry +36
Статья2021Цитирований: 3
ABI
Evaluation and interpretation of convolutional-recurrent networksfor regional hydrological modelling
Sam Anderson, Valentina Radić
Статья2021Цитирований: 3
ABI
Escherichia coli concentrations and physico-chemical measurements (2011-2021) at the outlet of the Houay Pano catchment, northern Lao PDR
Olivier Ribolzi, Laurie Boithias, Chanthamousone Thammahacksa +6
Другое2021Цитирований: 3
ABI
Sub-catchments boundaries of the Houay Pano catchment, northern Lao PDR
Laurie Boithias, Olivier Ribolzi, Kongkeo Phachomphon +3
ДругоеHydrology and Watershed Management StudiesIRD2021Цитирований: 3
ABI
Development of a process-based model to predict pathogen budgets for the Sydney drinking water catchment
Christobel Ferguson, Barry Croke, Peter J. Beatson +2
Статья2007Цитирований: 3
ABI
You Only Train Once: Loss-Conditional Training of Deep Networks
Alexey Dosovitskiy, Josip Djolonga
Статья2020Цитирований: 3
ABI
Generalization in Deep Learning
Kenji Kawaguchi, Yoshua Bengio, Leslie Pack Kaelbling
Глава2022Цитирований: 2
ABI
The Python Programming Language
Hussam Bin Mehare, Jishnu Pillai Anilkumar, Naushad Ahmad Usmani
Глава2023Цитирований: 2
ABI