Работы, на которые ссылается эта работа

Работ: 93

Работа: In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models

Comparison of CANWET and HSPF for water budget and water quality modeling in rural Ontario
S. I. Ahmed, Amanjot Singh, Ramesh Rudra +1
Статья2013Цитирований: 4
ABI
Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities
Kyung Hwa Cho, Yakov Pachepsky, David M. Oliver +4
Обзорная статья2016Цитирований: 4
ABI
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze, Yu‐Hsin Chen, Tien-Ju Yang +1
Статья2017Цитирований: 4
ABI
Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment
Minjeong Kim, Laurie Boithias, Kyung Hwa Cho +8
Статья2017Цитирований: 4
ABI
Evaluating the Use of Nash-Sutcliffe Efficiency Coefficient in Goodness-of-Fit Measures for Daily Runoff Simulation with SWAT
Lin Feng, Xingwei Chen, Huaxia Yao
Статья2017Цитирований: 4
ABI
Evaluation of water quality based on a machine learning algorithm and water quality index for the Ebinur Lake Watershed, China
Xiaoping Wang, Zhang Fei, Jianli Ding
Статья2017Цитирований: 4
ABI
Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea
Yongeun Park, Minjeong Kim, Yakov Pachepsky +4
Статья2018Цитирований: 4
ABI
Microbial Water Quality: Monitoring and Modeling
Yakov Pachepsky, Ana Allende, Laurie Boithias +4
Статья2018Цитирований: 4
ABI
The impact of socio-economic development and climate change on E. coli loads and concentrations in Kabul River, Pakistan
Muhammad Shahid Iqbal, M. M. Majedul Islam, Nynke Hofstra
Статья2018Цитирований: 4
ABI
Generalized Likelihood Uncertainty Estimation and Markov Chain Monte Carlo Simulation to Prioritize TMDL Pollutant Allocations
Anurag Mishra, Ebrahim Ahmadisharaf, Brian Leslie Benham +5
Статья2018Цитирований: 4
ABI
Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency
Sandra Pool, Marc Vis, Jan Seibert
Статья2018Цитирований: 4
ABI
Process‐Guided Deep Learning Predictions of Lake Water Temperature
Jordan S. Read, Xiaowei Jia, Jared Willard +9
Статья2019Цитирований: 4
ABI
An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction
Quanxi Dong, YongZhe Lin, Jing Bi +1
Статья2019Цитирований: 4
ABI
A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning
Zhongrun Xiang, Jun Yan, İbrahim Demir
Статья2020Цитирований: 4
ABI
Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data
Kangyang Chen, Hexia Chen, Chuanlong Zhou +12
Статья2019Цитирований: 4
ABI
New Methods for Microbiological Monitoring at Riverbank Filtration Sites
Yasmin Adomat, Gerit-Hartmut Orzechowski, Marc Pelger +5
Статья2020Цитирований: 4
ABI
Using convolutional neural network for predicting cyanobacteria concentrations in river water
JongCheol Pyo, Lan Joo Park, Yakov Pachepsky +3
Статья2020Цитирований: 4
ABI
Comparison of Alternative Methods to Simulate Bacteria Concentrations with HSPF Under Low-Flow Conditions
Choung Hyun Seong, Brian Leslie Benham, Kyle M Hall +1
Статья2013Цитирований: 4
ABI
WHY MODEL?
S. E. VAN DER LEEUW
Статья2004Цитирований: 4
ABI
Interacting land use and soil surface dynamics control groundwater outflow in a montane catchment of the lower Mekong basin
Olivier Ribolzi, Guillaume Lacombe, Alain Pierret +10
СтатьяHydrology and Watershed Management StudiesAgriculture Ecosystems & Environment2018Цитирований: 3
ABI
Evaluating the role of sediment‐bacteria interactions on Escherichia coli concentrations at beaches in southern Lake Michigan
Pramod Thupaki, Mantha S. Phanikumar, David J. Schwab +2
Статья2013Цитирований: 3
ABI
Integrated hydrological and water quality model for river management: A case study on Lena River
André Fonseca, Cidália M.S. Botelho, Rui A.R. Boaventura +1
Статья2014Цитирований: 3
ABI
Rural:urban inequalities in post 2015 targets and indicators for drinking-water
Robert Bain, Jim Wright, Elizabeth Christenson +1
Статья2014Цитирований: 3
ABI
Comparing temperature effects on Escherichia coli,Salmonella, and Enterococcus survival in surface waters
Yakov Pachepsky, Ryan A. Blaustein, G. Whelan +1
Статья2014Цитирований: 3
ABI
Predictive Analysis of Water Quality Parameters using Deep Learning
Archana Solanki, Himanshu Agrawal, Kanchan Khare
Статья2015Цитирований: 3
ABI

Работы, на которые ссылается эта работа

Comparison of CANWET and HSPF for water budget and water quality modeling in rural Ontario

Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment

Evaluating the Use of Nash-Sutcliffe Efficiency Coefficient in Goodness-of-Fit Measures for Daily Runoff Simulation with SWAT

Evaluation of water quality based on a machine learning algorithm and water quality index for the Ebinur Lake Watershed, China

Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea

Microbial Water Quality: Monitoring and Modeling

The impact of socio-economic development and climate change on E. coli loads and concentrations in Kabul River, Pakistan

Generalized Likelihood Uncertainty Estimation and Markov Chain Monte Carlo Simulation to Prioritize TMDL Pollutant Allocations

Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency

Process‐Guided Deep Learning Predictions of Lake Water Temperature

An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data

New Methods for Microbiological Monitoring at Riverbank Filtration Sites

Using convolutional neural network for predicting cyanobacteria concentrations in river water

Comparison of Alternative Methods to Simulate Bacteria Concentrations with HSPF Under Low-Flow Conditions

WHY MODEL?

Interacting land use and soil surface dynamics control groundwater outflow in a montane catchment of the lower Mekong basin

Evaluating the role of sediment‐bacteria interactions on <i>Escherichia coli</i> concentrations at beaches in southern Lake Michigan

Integrated hydrological and water quality model for river management: A case study on Lena River

Rural:urban inequalities in post 2015 targets and indicators for drinking-water

Comparing temperature effects on <i>Escherichia coli</i>,<i>Salmonella</i>, and <i>Enterococcus</i> survival in surface waters

Predictive Analysis of Water Quality Parameters using Deep Learning