Application of neural network to electrostatic fields distribution pattern: A case study

2013 IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON) ◽

10.1109/nigercon.2013.6715657 ◽

2013 ◽

Author(s):

O. Akinsanmi ◽

K. R. Ekundayo

Keyword(s):

Neural Network ◽

Distribution Pattern ◽

Electrostatic Fields

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LONG-TERM EVALUATION OF STORM SURGES BY NEURAL NETWORK — CASE STUDY IN ISE BAY —

Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering) ◽

10.2208/kaigan.74.i_601 ◽

2018 ◽

Vol 74 (2) ◽

pp. I_601-I_606

Author(s):

Yuji ARAKI ◽

Tomohiro YASUDA ◽

Nobuhito MORI

Keyword(s):

Neural Network ◽

Storm Surges ◽

Ise Bay ◽

Term Evaluation

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Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.148088 ◽

2021 ◽

Vol 791 ◽

pp. 148088

Author(s):

Kunsen Lin ◽

Youcai Zhao ◽

Lu Tian ◽

Chunlong Zhao ◽

Meilan Zhang ◽

...

Keyword(s):

Neural Network ◽

Municipal Solid Waste ◽

Convolutional Neural Network ◽

Short Term Memory ◽

One Dimension ◽

Term Memory ◽

Mechanism Model ◽

Long Short Term Memory

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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 ◽

Artificial Neural Network ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Model Development ◽

Discrete Wavelet ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Drug Reaction Discriminator within Encoder-Decoder Neural Network Model: COVID-19 Pandemic Case Study

2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS) ◽

10.1109/snams52053.2020.9336561 ◽

2020 ◽

Author(s):

Hanane Grissette ◽

El Habib Nfaoui

Keyword(s):

Neural Network ◽

Drug Reaction ◽

Network Model ◽

Neural Network Model

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A case study of debris flow risk assessment and hazard range prediction based on a neural network algorithm and finite volume shallow water flow model

Environmental Earth Sciences ◽

10.1007/s12665-021-09580-z ◽

2021 ◽

Vol 80 (7) ◽

Author(s):

Yuchao Li ◽

Jianping Chen ◽

Zhihai Li ◽

Xudong Han ◽

Shijie Zhai ◽

...

Keyword(s):

Neural Network ◽

Risk Assessment ◽

Debris Flow ◽

Shallow Water ◽

Finite Volume ◽

Shallow Water Flow ◽

Neural Network Algorithm

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Simulation of Seepage Flow through Embankment Dam by using a novel Extended Kalman Filter based neural network Paradigm: Case Study of Fontaine Gazelles Dam, Algeria

Measurement ◽

10.1016/j.measurement.2021.109219 ◽

2021 ◽

pp. 109219

Author(s):

Issam Rehamnia ◽

Bachir Benlaoukli ◽

Mehdi Jamei ◽

Masoud Karbasi ◽

Anurag Malik

Keyword(s):

Neural Network ◽

Kalman Filter ◽

Extended Kalman Filter ◽

Seepage Flow ◽

Embankment Dam ◽

Paradigm Case ◽

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Real-Time Identification of Power Fluctuations Based on LSTM Recurrent Neural Network: A Case Study on Singapore Power System

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2910416 ◽

2019 ◽

Vol 15 (9) ◽

pp. 5266-5275 ◽

Author(s):

Shuli Wen ◽

Yu Wang ◽

Yi Tang ◽

Yan Xu ◽

Pengfei Li ◽

...

Keyword(s):

Neural Network ◽

Power System ◽

Real Time ◽

Recurrent Neural Network ◽

Power Fluctuations ◽

Real Time Identification

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Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

Forest Ecosystems ◽

10.1186/s40663-018-0149-8 ◽

2018 ◽

Vol 5 (1) ◽

Author(s):

İlker Ercanlı ◽

Alkan Günlü ◽

Muammer Şenyurt ◽

Sedat Keleş

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Leaf Area Index ◽

Leaf Area ◽

Network Models ◽

Pine Forests ◽

Neural Network Models ◽

Artificial Neural Network Models

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An artificial neural network case study: the control of work-in-process inventory in a manufacturing line

ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics ◽

10.1109/isie.1997.651781 ◽

2002 ◽

Author(s):

M. Col ◽

B. Karlik

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Manufacturing Line ◽

Work In Process ◽

Artificial Neural

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Overlapped multi-neural-network: a case study

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.857824 ◽

2000 ◽

Author(s):

J. Hu ◽

K. Hirasawa

Keyword(s):

Neural Network ◽

Multi Neural Network

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