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A Comprehensive Review of Deep Learning Applications in Hydrology and
  Water Resources

A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources

17 June 2020
M. Sit
B. Demiray
Z. Xiang
Gregory Ewing
Y. Sermet
Ibrahim Demir
    AI4Cl
    AI4CE
ArXivPDFHTML

Papers citing "A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources"

18 / 18 papers shown
Title
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Maryam Ahang
Todd Charter
Oluwaseyi Ogunfowora
Maziyar Khadivi
Mostafa Abbasi
Homayoun Najjaran
AI4CE
53
2
0
03 Jan 2024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
37
10
0
08 Oct 2023
Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in
  Near-Real-Time (DL Hydro-FRAN)
Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN)
Francisco Haces-Garcia
N. Maslennikova
Craig Glennie
Hanadi Rifai
Vedhus Hoskere
Nima Ekhtari
AI4CE
18
0
0
20 May 2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation
A Neural Emulator for Uncertainty Estimation of Fire Propagation
Andrew Bolt
Conrad Sanderson
J. Dabrowski
C. Huston
Petra Kuhnert
32
3
0
10 May 2023
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall
B. Demiray
M. Sit
Ibrahim Demir
26
4
0
09 Mar 2023
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
Andrew Bolt
C. Huston
Petra Kuhnert
J. Dabrowski
J. Hilton
Conrad Sanderson
AI4TS
36
11
0
17 Jun 2022
Investigating the fidelity of explainable artificial intelligence
  methods for applications of convolutional neural networks in geoscience
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience
Antonios Mamalakis
E. Barnes
I. Ebert‐Uphoff
31
73
0
07 Feb 2022
Earthquake Nowcasting with Deep Learning
Earthquake Nowcasting with Deep Learning
Geoffrey C. Fox
John B. Rundle
A. Donnellan
Bo Feng
AI4Cl
AI4CE
35
6
0
18 Dec 2021
Variational encoder geostatistical analysis (VEGAS) with an application
  to large scale riverine bathymetry
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
M. Forghani
Yizhou Qian
Jonghyun Lee
Matthew W. Farthing
T. Hesser
P. Kitanidis
Eric F. Darve
27
8
0
23 Nov 2021
DEM Super-Resolution with EfficientNetV2
DEM Super-Resolution with EfficientNetV2
B. Demiray
M. Sit
Ibrahim Demir
51
20
0
20 Sep 2021
TempNet -- Temporal Super Resolution of Radar Rainfall Products with
  Residual CNNs
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs
M. Sit
B. Seo
Ibrahim Demir
28
9
0
20 Sep 2021
Opportunistic Emulation of Computationally Expensive Simulations via
  Deep Learning
Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning
Conrad Sanderson
D. Pagendam
B. Power
Frederick Bennett
Ross Darnell
24
2
0
25 Aug 2021
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and
  Quantitative Precipitation Estimation
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
M. Sit
B. Seo
Ibrahim Demir
21
27
0
07 Jul 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel
  Synthetic Benchmark Dataset
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
Antonios Mamalakis
I. Ebert‐Uphoff
E. Barnes
OOD
30
75
0
18 Mar 2021
Theory-guided hard constraint projection (HCP): a knowledge-based
  data-driven scientific machine learning method
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
Yuntian Chen
Dou Huang
Dongxiao Zhang
Junsheng Zeng
Nanzhe Wang
Haoran Zhang
Jinyue Yan
PINN
42
107
0
11 Dec 2020
Application of deep learning to large scale riverine flow velocity
  estimation
Application of deep learning to large scale riverine flow velocity estimation
M. Forghani
Yizhou Qian
Jonghyun Lee
Matthew W. Farthing
T. Hesser
P. Kitanidis
Eric F. Darve
16
21
0
04 Dec 2020
Realistic River Image Synthesis using Deep Generative Adversarial
  Networks
Realistic River Image Synthesis using Deep Generative Adversarial Networks
A. Gautam
M. Sit
Ibrahim Demir
AI4CE
GAN
19
49
0
14 Feb 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
451
15,652
0
02 Nov 2015
1