Groundwater System Modeling for Pollution Source Identification Using Artificial Neural Network

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-03756-1_20 ◽

2013 ◽

pp. 226-236

Author(s):

Raj Mohan Singh ◽

Divya Srivastava

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Source Identification ◽

System Modeling ◽

Pollution Source ◽

Groundwater System ◽

Pollution Source Identification ◽

Artificial Neural

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Groundwater Pollution Source Identification and Simultaneous Parameter Estimation Using Pattern Matching by Artificial Neural Network

Environmental Forensics ◽

10.1080/15275920490495873 ◽

2004 ◽

Vol 5 (3) ◽

pp. 143-153 ◽

Author(s):

Raj Mohan Singh ◽

Bithin Datta

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Parameter Estimation ◽

Pattern Matching ◽

Groundwater Pollution ◽

Source Identification ◽

Pollution Source ◽

Pollution Source Identification ◽

Artificial Neural

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Breakthrough Curves Characterization and Identification of an Unknown Pollution Source in Groundwater System Using an Artificial Neural Network (ANN)

Environmental Forensics ◽

10.1080/15275922.2014.890142 ◽

2014 ◽

Vol 15 (2) ◽

pp. 175-189 ◽

Author(s):

Divya Srivastava ◽

Raj Mohan Singh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Breakthrough Curves ◽

Pollution Source ◽

Groundwater System ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Photovoltaic Power Generation System Modeling Using an Artificial Neural Network

Lecture Notes in Electrical Engineering - Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014) ◽

10.1007/978-3-319-17314-6_48 ◽

2016 ◽

pp. 365-371 ◽

Author(s):

Cheng-Ting Hsu ◽

Roman Korimara ◽

Lian-Jou Tsai ◽

Tsun-Jen Cheng

Keyword(s):

Neural Network ◽

Power Generation ◽

Artificial Neural Network ◽

System Modeling ◽

Generation System ◽

Photovoltaic Power ◽

Power Generation System ◽

Artificial Neural

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Simultaneous identification of groundwater pollution source location and release concentration using Artificial Neural Network

Environmental Forensics ◽

10.1080/15275922.2020.1850566 ◽

2020 ◽

pp. 1-8

Author(s):

Jyoti Chaubey ◽

Rajesh Srivastava

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Groundwater Pollution ◽

Source Location ◽

Pollution Source ◽

Artificial Neural ◽

Simultaneous Identification

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Artificial Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles

10.4271/2000-01-1564 ◽

2000 ◽

Author(s):

Sanjay. R. Bhatikar ◽

Roop. L. Mahajan ◽

Keith Wipke ◽

Valerie Johnson

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Energy Storage ◽

Electric Vehicles ◽

Hybrid Electric Vehicles ◽

System Modeling ◽

Storage System ◽

Energy Storage System ◽

Artificial Neural ◽

Hybrid Electric

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Air Pollution Source Identification by Using Neural Network with Bayesian Optimization

Innovative Mobile and Internet Services in Ubiquitous Computing - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-22263-5_49 ◽

2019 ◽

pp. 514-524

Author(s):

Fang-Yie Leu ◽

Jia-Sheng Ho

Keyword(s):

Neural Network ◽

Air Pollution ◽

Source Identification ◽

Pollution Source ◽

Bayesian Optimization ◽

Pollution Source Identification

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Artificial Neural Network-Based Source Identification Producing Harmonic Pollution in the Electric Network

Lecture Notes in Electrical Engineering - Advances in Renewable Energy and Sustainable Environment ◽

10.1007/978-981-15-5313-4_6 ◽

2020 ◽

pp. 49-58

Author(s):

Ankit Tayal ◽

Lillie Dewan ◽

J. S. Lather

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Source Identification ◽

Electric Network ◽

Harmonic Pollution ◽

Artificial Neural

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Keynote: Air pollution source identification by using Neural Network with Bayesian Optimization

2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA) ◽

10.1109/ic3ina48034.2019.8949566 ◽

2019 ◽

Author(s):

Leu Fang-Yie

Keyword(s):

Neural Network ◽

Air Pollution ◽

Source Identification ◽

Pollution Source ◽

Bayesian Optimization ◽

Pollution Source Identification

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Artificial Neural Network Approach for Predicting Transient Water Levels in a Multilayered Groundwater System under Variable State, Pumping, and Climate Conditions

Journal of Hydrologic Engineering ◽

10.1061/(asce)1084-0699(2003)8:6(348) ◽

2003 ◽

Vol 8 (6) ◽

pp. 348-360 ◽

Author(s):

Emery Coppola ◽

Ferenc Szidarovszky ◽

Mary Poulton ◽

Emmanuel Charles

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Water Levels ◽

Network Approach ◽

Neural Network Approach ◽

Groundwater System ◽

Climate Conditions ◽

Artificial Neural ◽

Artificial Neural Network Approach

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GROUNDWATER SYSTEM CHARACTERIZATION USING HYBRID WAVELET ANALYSIS–ARTIFICIAL NEURAL NETWORK MODELS: COMPARISON WITH A PHYSICS-BASED SYNTHETIC AQUIFER MODEL

10.1130/abs/2020am-354833 ◽

2020 ◽

Author(s):

Kingsley Abrokwah ◽

◽

Andrew M. O'Reilly

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Wavelet Analysis ◽

Network Models ◽

Neural Network Models ◽

Groundwater System ◽

System Characterization ◽

Models Comparison ◽

Artificial Neural ◽

Artificial Neural Network Models

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