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Short-term wind speed forecasting using artificial neural networks for Tehran, Iran
Short-term wind speed forecasting using artificial neural networks for Tehran, Iran
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Short-term wind speed forecasting using artificial neural networks for Tehran, Iran

Fazelpour, Farivar ; Tarashkar, Negar ; Rosen, Marc A.

International journal of energy and environmental engineering, 2016-12, Vol.7 (4), p.377-390 [Revista revisada por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network
A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network
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A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network

Wang, Liang-Jie ; Guo, Min ; Sawada, Kazuhide ; Lin, Jie ; Zhang, Jinchi

Geosciences Journal, 2016, 20(1), , pp.117-136 [Revista revisada por pares]

Seoul: The Geological Society of Korea

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SEM–ANN based research of factors’ impact on extended use of ERP systems
SEM–ANN based research of factors’ impact on extended use of ERP systems
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SEM–ANN based research of factors’ impact on extended use of ERP systems

Sternad Zabukovšek, Simona ; Kalinic, Zoran ; Bobek, Samo ; Tominc, Polona

Central European journal of operations research, 2019-09, Vol.27 (3), p.703-735 [Revista revisada por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Prediction of Ground Motion Intensity Measures Using an Artificial Neural Network
Prediction of Ground Motion Intensity Measures Using an Artificial Neural Network
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Prediction of Ground Motion Intensity Measures Using an Artificial Neural Network

Sreejaya, K. P. ; Basu, Jahnabi ; Raghukanth, S. T. G. ; Srinagesh, D.

Pure and applied geophysics, 2021-06, Vol.178 (6), p.2025-2058 [Revista revisada por pares]

Cham: Springer International Publishing

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5
Artificial neural networks in the modeling of the catalytic activity of a biosensor composed of conjugated polymers and urease
Artificial neural networks in the modeling of the catalytic activity of a biosensor composed of conjugated polymers and urease
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Artificial neural networks in the modeling of the catalytic activity of a biosensor composed of conjugated polymers and urease

de Jesus, Cléber Gomes ; da Rocha Rodrigues, Rebeca ; da Silva, Carlos Alexandre Moreira ; Péres, Laura Oliveira

Analytical and bioanalytical chemistry, 2024-02, Vol.416 (5), p.1217-1227 [Revista revisada por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Diagnostics and Forecasting of the Resource of the Alighting Gear Using Artificial Neural Networks
Diagnostics and Forecasting of the Resource of the Alighting Gear Using Artificial Neural Networks
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Diagnostics and Forecasting of the Resource of the Alighting Gear Using Artificial Neural Networks

Dolgov, O. S. ; Safoklov, B. B. ; Smagin, A. A.

Russian aeronautics, 2022-04, Vol.65 (2), p.225-234 [Revista revisada por pares]

Moscow: Pleiades Publishing

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7
Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform
Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform
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Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform

Ashraf, Rehan ; Ahmed, Mudassar ; Jabbar, Sohail ; Khalid, Shehzad ; Ahmad, Awais ; Din, Sadia ; Jeon, Gwangil

Journal of medical systems, 2018-03, Vol.42 (3), p.44-12, Article 44 [Revista revisada por pares]

New York: Springer US

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A Survey and Recent Advances: Machine Intelligence in Electronic Testing
A Survey and Recent Advances: Machine Intelligence in Electronic Testing
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A Survey and Recent Advances: Machine Intelligence in Electronic Testing

Roy, Soham ; Millican, Spencer K. ; Agrawal, Vishwani D.

Journal of electronic testing, 2024-04, Vol.40 (2), p.139-158 [Revista revisada por pares]

New York: Springer US

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9
Sparse autoencoder–based feature extraction from TOF–SIMS image data of human skin structures
Sparse autoencoder–based feature extraction from TOF–SIMS image data of human skin structures
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Sparse autoencoder–based feature extraction from TOF–SIMS image data of human skin structures

Matsuda, Kazuhiro ; Aoyagi, Satoka

Analytical and bioanalytical chemistry, 2022, Vol.414 (2), p.1177-1186 [Revista revisada por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
Forecasting the Technical Condition of Rotorcraft Units Based on Neural Network Modeling
Forecasting the Technical Condition of Rotorcraft Units Based on Neural Network Modeling
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Forecasting the Technical Condition of Rotorcraft Units Based on Neural Network Modeling

Bel’skii, A. B. ; Esipovich, O. A. ; Safoklov, B. B.

Russian aeronautics, 2023-12, Vol.66 (4), p.633-644 [Revista revisada por pares]

Moscow: Pleiades Publishing

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