Hindcasting and Forecasting Total Suspended Sediment Concentrations Using a NARX Neural Network

Impact of urbanization on soil loss: a case study from sod production

(2020) Mehmet Parlak et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Two decades on the artificial intelligence models advancement for modeling river sediment concentration: State-of-the-art

(2020) Taher Rajaee et al.   JOURNAL OF HYDROLOGY

Coupled changes in soil organic carbon fractions and microbial community composition in urban and suburban forests

(2020) Xueying Zhang et al.   Scientific Reports

A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: A case study in santiago, Chile

(2020) Daniela Gormaz-Cuevas et al.   JOURNAL OF CLEANER PRODUCTION

A novel two-stage fuzzy stochastic model for water supply management from a water-energy nexus perspective

(2020) Ling Ji et al.   JOURNAL OF CLEANER PRODUCTION

Temporal and spatial transferabilities of hydrological models under different climates and underlying surface conditions

(2020) Wushuang Yang et al.   JOURNAL OF HYDROLOGY

Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model

(2020) Abhirup Dikshit et al.   SCIENCE OF THE TOTAL ENVIRONMENT

ANALYSES OF TURBIDITY AND ACOUSTIC BACKSCATTER SIGNAL WITH ARTIFICIAL NEURAL NETWORK FOR ESTIMATION OF SUSPENDED SEDIMENT CONCENTRATION

(2018) R. MERAL   APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH

Estimations of nitrate nitrogen, total phosphorus flux and suspended sediment concentration (SSC) as indicators of surface-erosion processes using an ANN (Artificial Neural Network) based on geomorphological parameters in mountainous catchments

(2018) Wiktor Halecki et al.   ECOLOGICAL INDICATORS

A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation

(2018) Zina Boussaada et al.   Energies

Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs

(2017) Jaime Buitrago et al.   Energies

Streamflow forecasting by combining neural networks and fuzzy models using advanced methods of input variable selection

(2017) A. B. Dariane et al.   JOURNAL OF HYDROINFORMATICS

Forecasting Daily Streamflow Discharges Using Various Neural Network Models and Training Algorithms

(2017) Sinan Nacar et al.   KSCE Journal of Civil Engineering

Estimate of Suspended Sediment Concentration from Monitored Data of Turbidity and Water Level Using Artificial Neural Networks

(2017) Vanessa Sari et al.   WATER RESOURCES MANAGEMENT

Using the HSPF and SWMM Models in a High Pervious Watershed and Estimating Their Parameter Sensitivity

(2017) Lin-Yi Tsai et al.   Water

Comparison of an artificial neural network and a conceptual rainfall–runoff model in the simulation of ephemeral streamflow

(2016) Ioannis N. Daliakopoulos et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction

(2016) Haitham Abdulmohsin Afan et al.   JOURNAL OF HYDROLOGY

Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling

(2014) Wenyan Wu et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Nested Hydrodynamic Modeling of a Coastal River Applying Dynamic-Coupling

(2014) V. J. Alarcon et al.   WATER RESOURCES MANAGEMENT

ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

(2014) Haitham Abdulmohsin Afan et al.   WATER RESOURCES MANAGEMENT

Spatio-temporal prediction of suspended sediment concentration in the coastal zone using an artificial neural network and a numerical model

(2012) B. Bhattacharya et al.   JOURNAL OF HYDROINFORMATICS

Global uncertainty analysis of suspended sediment monitoring using turbidimeter in a small mountainous river catchment

(2011) O. Navratil et al.   JOURNAL OF HYDROLOGY

Advances in ungauged streamflow prediction using artificial neural networks

(2010) Lance E. Besaw et al.   JOURNAL OF HYDROLOGY