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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
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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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3
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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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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5
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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6
Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study
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Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study

Kamesh, Reddi ; Rani, Kalipatnapu Yamuna

IEEE transaction on neural networks and learning systems, 2017-12, Vol.28 (12), p.3061-3073

United States: IEEE

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7
Optimizing ANN models with PSO for predicting short building seismic response
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Optimizing ANN models with PSO for predicting short building seismic response

Nguyen, Hoang ; Moayedi, Hossein ; Foong, Loke Kok ; Al Najjar, Husam Abdulrasool H. ; Jusoh, Wan Amizah Wan ; Rashid, Ahmad Safuan A. ; Jamali, Jamaloddin

Engineering with computers, 2020-07, Vol.36 (3), p.823-837 [Periódico revisado por pares]

London: Springer London

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8
Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil
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Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

Moayedi, Hossein ; Jahed Armaghani, Danial

Engineering with computers, 2018-04, Vol.34 (2), p.347-356 [Periódico revisado por pares]

London: Springer London

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9
Rock tensile strength prediction using empirical and soft computing approaches
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Rock tensile strength prediction using empirical and soft computing approaches

Mahdiyar, Amir ; Armaghani, Danial Jahed ; Marto, Aminaton ; Nilashi, Mehrbakhsh ; Ismail, Syuhaida

Bulletin of engineering geology and the environment, 2019-09, Vol.78 (6), p.4519-4531 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
The impact of the ANN’s choice on PV systems diagnosis quality
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The impact of the ANN’s choice on PV systems diagnosis quality

Kara Mostefa Khelil, Chérifa ; Amrouche, Badia ; Kara, Kamel ; Chouder, Aissa

Energy conversion and management, 2021-07, Vol.240, p.114278, Article 114278 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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