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A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures
A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures
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A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures

Zenzen, Roumaissa ; Khatir, Samir ; Belaidi, Idir ; Le Thanh, Cuong ; Abdel Wahab, Magd

Composite structures, 2020-09, Vol.248, p.112497, Article 112497 [Periódico revisado por pares]

Elsevier Ltd

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12
Modification of landslide susceptibility mapping using optimized PSO-ANN technique
Modification of landslide susceptibility mapping using optimized PSO-ANN technique
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Modification of landslide susceptibility mapping using optimized PSO-ANN technique

Moayedi, Hossein ; Mehrabi, Mohammad ; Mosallanezhad, Mansour ; Rashid, Ahmad Safuan A. ; Pradhan, Biswajeet

Engineering with computers, 2019-07, Vol.35 (3), p.967-984 [Periódico revisado por pares]

London: Springer London

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13
A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks
A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks
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A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks

Hijazi, Ala ; Al-Dahidi, Sameer ; Altarazi, Safwan

Applied sciences, 2020-11, Vol.10 (22), p.8255 [Periódico revisado por pares]

Basel: MDPI AG

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14
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
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Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

Ben Ali, Jaouher ; Fnaiech, Nader ; Saidi, Lotfi ; Chebel-Morello, Brigitte ; Fnaiech, Farhat

Applied acoustics, 2015-03, Vol.89, p.16-27 [Periódico revisado por pares]

Elsevier Ltd

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15
Predicting the seismic response of the short structures by considering the Whale Optimization Algorithm
Predicting the seismic response of the short structures by considering the Whale Optimization Algorithm
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Predicting the seismic response of the short structures by considering the Whale Optimization Algorithm

Liu, Zhe ; Zhang, Lei ; Li, Jiajing ; Mamluki, Mina

Energy reports, 2021-11, Vol.7, p.4071-4084 [Periódico revisado por pares]

Elsevier Ltd

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Developing the artificial neural network–evolutionary algorithms hybrid models (ANN–EA) to predict the daily evaporation from dam reservoirs
Developing the artificial neural network–evolutionary algorithms hybrid models (ANN–EA) to predict the daily evaporation from dam reservoirs
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Developing the artificial neural network–evolutionary algorithms hybrid models (ANN–EA) to predict the daily evaporation from dam reservoirs

Arya Azar, Naser ; Kardan, Nazila ; Ghordoyee Milan, Sami

Engineering with computers, 2023-04, Vol.39 (2), p.1375-1393 [Periódico revisado por pares]

London: Springer London

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17
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
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Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting

Khan, Md. Munir Hayet ; Muhammad, Nur Shazwani ; El-Shafie, Ahmed

Journal of hydrology (Amsterdam), 2020-11, Vol.590, p.125380, Article 125380 [Periódico revisado por pares]

Elsevier B.V

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18
Power quality control based on voltage sag/swell, unbalancing, frequency, THD and power factor using artificial neural network in PV integrated AC microgrid
Power quality control based on voltage sag/swell, unbalancing, frequency, THD and power factor using artificial neural network in PV integrated AC microgrid
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Power quality control based on voltage sag/swell, unbalancing, frequency, THD and power factor using artificial neural network in PV integrated AC microgrid

Kaushal, Jitender ; Basak, Prasenjit

Sustainable Energy, Grids and Networks, 2020-09, Vol.23, p.100365, Article 100365 [Periódico revisado por pares]

Elsevier Ltd

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19
Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization
Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization
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Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization

Salem, Hanaa ; Kabeel, A.E. ; El-Said, Emad M.S. ; Elzeki, Omar M.

Desalination, 2022-01, Vol.522, p.115411, Article 115411 [Periódico revisado por pares]

Elsevier B.V

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20
Water quality prediction using SWAT-ANN coupled approach
Water quality prediction using SWAT-ANN coupled approach
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Water quality prediction using SWAT-ANN coupled approach

Noori, Navideh ; Kalin, Latif ; Isik, Sabahattin

Journal of hydrology (Amsterdam), 2020-11, Vol.590, p.125220, Article 125220 [Periódico revisado por pares]

Elsevier B.V

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