Ushbu ish iqtibos qilgan ishlar

72 ta ish

Ish: Comment on hess-2021-98

Surface Water Mapping by Deep Learning
Furkan Isikdogan, Alan C. Bovik, Paola Passalacqua
Maqola20173 iqtibos
ABI
Variability of <i>Escherichia coli</i> Concentrations in Rivers during Base‐Flow Conditions in New Zealand
Richard Muirhead, Esther D. Meenken
Maqola20183 iqtibos
ABI
OZCAR: The French Network of Critical Zone Observatories
Jérôme Gaillardet, Isabelle Braud, Fatim Hankard +97
Maqola20183 iqtibos
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
Maqola20193 iqtibos
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
Maqola20203 iqtibos
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
Maqola20203 iqtibos
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
Maqola20203 iqtibos
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
Maqola20203 iqtibos
ABI
Surface and sub-surface flow estimation at high temporal resolution using deep neural networks
Ather Abbas, Sang‐Soo Baek, Minjeong Kim +6
Maqola20203 iqtibos
ABI
Understory Limits Surface Runoff and Soil Loss in Teak Tree Plantations of Northern Lao PDR
Layheang Song, Laurie Boithias, Oloth Sengtaheuanghoung +10
Maqola20203 iqtibos
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
Maqola20203 iqtibos
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
Maqola20203 iqtibos
ABI
Sarlavhasiz
Boshqa3 iqtibos
ABI
A Regional Semi-Distributed Streamflow Model Using Deep Learning
Zhongrun Xiang, İbrahim Demir, Ricardo Mantilla +1
Preprint20213 iqtibos
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
Maqola20213 iqtibos
ABI
Evaluation and interpretation of convolutional-recurrent networksfor regional hydrological modelling
Sam Anderson, Valentina Radić
Maqola20213 iqtibos
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
Boshqa20213 iqtibos
ABI
Sub-catchments boundaries of the Houay Pano catchment, northern Lao PDR
Laurie Boithias, Olivier Ribolzi, Kongkeo Phachomphon +3
BoshqaHydrology and Watershed Management StudiesIRD20213 iqtibos
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
Maqola20073 iqtibos
ABI
You Only Train Once: Loss-Conditional Training of Deep Networks
Alexey Dosovitskiy, Josip Djolonga
Maqola20203 iqtibos
ABI
Generalization in Deep Learning
Kenji Kawaguchi, Yoshua Bengio, Leslie Pack Kaelbling
Bob20222 iqtibos
ABI
The Python Programming Language
Hussam Bin Mehare, Jishnu Pillai Anilkumar, Naushad Ahmad Usmani
Bob20232 iqtibos
ABI