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Experimental crack identification of API X70 steel pipeline using improved Artificial Neural Networks based on Whale Optimization Algorithm
Experimental crack identification of API X70 steel pipeline using improved Artificial Neural Networks based on Whale Optimization Algorithm
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Experimental crack identification of API X70 steel pipeline using improved Artificial Neural Networks based on Whale Optimization Algorithm

Ouladbrahim, A. ; Belaidi, I. ; Khatir, S. ; Magagnini, E. ; Capozucca, R. ; Abdel Wahab, M.

Mechanics of materials, 2022-03, Vol.166, p.104200, Article 104200 [Periódico revisado por pares]

Elsevier Ltd

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Prediction of resisting force and tensile load reduction in GFRP composite materials using Artificial Neural Network-Enhanced Jaya Algorithm
Prediction of resisting force and tensile load reduction in GFRP composite materials using Artificial Neural Network-Enhanced Jaya Algorithm
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Prediction of resisting force and tensile load reduction in GFRP composite materials using Artificial Neural Network-Enhanced Jaya Algorithm

Fahem, Noureddine ; Belaidi, Idir ; Oulad Brahim, Abdelmoumin ; Noori, Mohammad ; Khatir, Samir ; Abdel Wahab, Magd

Composite structures, 2023-01, Vol.304, p.116326, Article 116326 [Periódico revisado por pares]

Elsevier Ltd

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3
On-chip Fully Reconfigurable Artificial Neural Network in 16 Nm FinFET for Positron Emission Tomography
On-chip Fully Reconfigurable Artificial Neural Network in 16 Nm FinFET for Positron Emission Tomography
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On-chip Fully Reconfigurable Artificial Neural Network in 16 Nm FinFET for Positron Emission Tomography

Muntean, Andrada ; Shoshan, Yonatan ; Yuzhaninov, Slava ; Ripiccini, Emanuele ; Bruschini, Claudio ; Fish, Alexander ; Charbon, Edoardo

IEEE journal of selected topics in quantum electronics, 2024-01, Vol.30 (1: Single-Photon Technologies), p.1-15 [Periódico revisado por pares]

New York: IEEE

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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
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
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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

Afram, Abdul ; Janabi-Sharifi, Farrokh ; Fung, Alan S. ; Raahemifar, Kaamran

Energy and buildings, 2017-04, Vol.141, p.96-113 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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5
Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA
Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA
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Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA

Shukur, Osamah Basheer ; Lee, Muhammad Hisyam

Renewable energy, 2015-04, Vol.76, p.637-647 [Periódico revisado por pares]

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6
Prediction of the peak load and crack initiation energy of dynamic brittle fracture in X70 steel pipes using an improved artificial neural network and extended Finite Element Method
Prediction of the peak load and crack initiation energy of dynamic brittle fracture in X70 steel pipes using an improved artificial neural network and extended Finite Element Method
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Prediction of the peak load and crack initiation energy of dynamic brittle fracture in X70 steel pipes using an improved artificial neural network and extended Finite Element Method

Oulad Brahim, Abdelmoumin ; Belaidi, Idir ; Fahem, Noureddine ; Khatir, Samir ; Mirjalili, Seyedali ; Abdel Wahab, Magd

Theoretical and applied fracture mechanics, 2022-12, Vol.122, p.103627, Article 103627 [Periódico revisado por pares]

Elsevier Ltd

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7
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
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Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

Gao, Shuai ; Huang, Yuefei ; Zhang, Shuo ; Han, Jingcheng ; Wang, Guangqian ; Zhang, Meixin ; Lin, Qingsheng

Journal of hydrology (Amsterdam), 2020-10, Vol.589, p.125188, Article 125188 [Periódico revisado por pares]

Elsevier B.V

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8
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
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Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

Büyükşahin, Ümit Çavuş ; Ertekin, Şeyda

Neurocomputing (Amsterdam), 2019-10, Vol.361, p.151-163 [Periódico revisado por pares]

Elsevier B.V

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9
An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates
An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates
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An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates

Khatir, Samir ; Tiachacht, Samir ; Le Thanh, Cuong ; Ghandourah, Emad ; Mirjalili, Seyedali ; Abdel Wahab, Magd

Composite structures, 2021-10, Vol.273, p.114287, Article 114287 [Periódico revisado por pares]

Elsevier Ltd

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10
Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms
Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms
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Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms

Quadros, Jaimon Dennis ; Mogul, Yakub Iqbal ; Ağbulut, Ümit ; Gürel, Ali Etem ; Khan, Sher Afghan ; Akhtar, Mohammad Nishat ; Jilte, R.D. ; Asif, Mohammad

International journal of thermal sciences, 2024-03, Vol.197, p.108810, Article 108810 [Periódico revisado por pares]

Elsevier Masson SAS

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