Time-frequency analysis and simulation of the watershed suspended sediment concentration based on the Hilbert-Huang transform (HHT) and artificial neural network (ANN) methods: A case study in the Loess Plateau of China

Frequency Analysis ◽

Sediment Concentration ◽

The Loess Plateau ◽

Hilbert Huang Transform ◽

Time Frequency ◽

Estimating Suspended Sediment Concentration Using Remote Sensing and Artificial Neural Network (Case Study: Karun River)

Journal of Water and Soil Science ◽

10.29252/jstnar.22.2.249 ◽

2018 ◽

Vol 22 (2) ◽

pp. 249-259

Author(s):

Z. Mollaee ◽

J. Zahiri ◽

S. Jalili ◽

M. R. Ansari ◽

A. Taghizadeh ◽

...

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Suspended Sediment ◽

Sediment Concentration ◽

Karun River ◽

Artificial Neural

A model development on GIS-driven data to predict temporal daily collision through integrating Discrete Wavelet Transform (DWT) and Artificial Neural Network (ANN) algorithms; Case study: Tehran-Qazvin freeway

Geocarto International ◽

10.1080/10106049.2021.1871669 ◽

2021 ◽

pp. 1-12

Author(s):

Reza Sanayei ◽

Alireza Vafaeinejad ◽

Jalal Karami ◽

Hossein Aghamohammadi Zanjirabad

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Model Development ◽

Discrete Wavelet ◽

Artificial Neural ◽

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

Ecological Indicators ◽

10.1016/j.ecolind.2018.03.072 ◽

2018 ◽

Vol 91 ◽

pp. 461-469 ◽

Cited By ~ 8

Author(s):

Wiktor Halecki ◽

Edyta Kruk ◽

Marek Ryczek

Keyword(s):

Neural Network ◽

Nitrate Nitrogen ◽

Sediment Concentration ◽

Surface Erosion ◽

Erosion Processes ◽

Mountainous Catchments ◽

Phosphorus Flux ◽

Geomorphological Parameters

Permeability Prediction Using Artificial Neural Network (ANN): A Case Study of Uinta Basin

10.2118/99286-stu ◽

2005 ◽

Cited By ~ 5

Author(s):

S. Singh

Keyword(s):

Neural Network ◽

Uinta Basin ◽

Permeability Prediction ◽

Artificial Neural ◽

Enhancement of fault interpretation using multi-attribute analysis and artificial neural network (ANN) approach: a case study from Taranaki Basin, New Zealand

Exploration Geophysics ◽

10.1071/eg16072 ◽

2018 ◽

Vol 49 (3) ◽

pp. 409-424 ◽

Cited By ~ 13

Author(s):

Priyadarshi Chinmoy Kumar ◽

Animesh Mandal

Keyword(s):

Neural Network ◽

New Zealand ◽

Attribute Analysis ◽

Artificial Neural ◽

Artificial Neural Network Ann ◽

Fault Interpretation

Automated condition classification of a reciprocating compressor using time–frequency analysis and an artificial neural network

Smart Materials and Structures ◽

10.1088/0964-1726/15/6/009 ◽

2006 ◽

Vol 15 (6) ◽

pp. 1576-1584 ◽

Cited By ~ 13

Author(s):

Yih-Hwang Lin ◽

Hsien-Chang Wu ◽

Chung-Yung Wu

Keyword(s):

Neural Network ◽

Frequency Analysis ◽

Reciprocating Compressor ◽

Time Frequency Analysis ◽

Time Frequency ◽

Artificial Neural

Application of Artificial Neural Network (ANN) for Short-Term Load Forecasting (Case Study on National Control Centre (PHCN) Oshogbo, Osun State, Nigeria)

Journal of Engineering and Applied Sciences ◽

10.3923/jeasci.2010.78.83 ◽

2010 ◽

Vol 5 (2) ◽

pp. 78-83 ◽

Cited By ~ 2

Author(s):

P.B. Osofisan ◽

C.N. Nwaeke

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting ◽

Control Centre ◽

Artificial Neural ◽

Artificial Neural Network Ann ◽

National Control

Artificial neural network simulation for prediction of suspended sediment concentration in the River Ramganga, Ganges Basin, India

International Journal of Sediment Research ◽

10.1016/j.ijsrc.2018.09.001 ◽

2019 ◽

Vol 34 (2) ◽

pp. 95-107 ◽

Cited By ~ 20

Author(s):

Mohd Yawar Ali Khan ◽

Fuqiang Tian ◽

Faisal Hasan ◽

Govind Joseph Chakrapani

Keyword(s):

Neural Network ◽

Suspended Sediment ◽

Network Simulation ◽

Sediment Concentration ◽

Ganges Basin ◽

Neural Network Simulation ◽

Artificial Neural

Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system

Energy and Buildings ◽

10.1016/j.enbuild.2017.02.012 ◽

2017 ◽

Vol 141 ◽

pp. 96-113 ◽

Cited By ~ 165

Author(s):

Abdul Afram ◽

Farrokh Janabi-Sharifi ◽

Alan S. Fung ◽

Kaamran Raahemifar

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Predictive Control ◽

State Of The Art ◽

Hvac Systems ◽

Hvac System ◽

Artificial Neural ◽

Computational fluid dynamics (CFD), artificial neural network (ANN) and genetic algorithm (GA) as a hybrid method for the analysis and optimization of micro-photocatalytic reactors: NOx abatement as a case study

Chemical Engineering Journal ◽

10.1016/j.cej.2021.133771 ◽

2021 ◽

pp. 133771

Author(s):

Jéssica O.B. Lira ◽

Humberto G. Riella ◽

Natan Padoin ◽

Cíntia Soares

Keyword(s):

Neural Network ◽

Fluid Dynamics ◽

Genetic Algorithm ◽

Computational Fluid Dynamics ◽

Hybrid Method ◽

Photocatalytic Reactors ◽

Computational Fluid Dynamics Cfd ◽