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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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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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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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Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete
Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete
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Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Shariati, Mahdi ; Mafipour, Mohammad Saeed ; Mehrabi, Peyman ; Bahadori, Alireza ; Zandi, Yousef ; Salih, Musab N A ; Nguyen, Hoang ; Dou, Jie ; Song, Xuan ; Poi-Ngian, Shek

Applied sciences, , Vol.9 (24), p.5534 [Periódico revisado por pares]

Basel: MDPI AG

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6
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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Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing
Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing
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Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing

Moayedi, Hossein ; Kalantar, Bahareh ; Dounis, Anastasios ; Tien Bui, Dieu ; Foong, Loke Kok

Applied sciences, 2019-11, Vol.9 (21), p.4594 [Periódico revisado por pares]

Basel: MDPI AG

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8
Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study
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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9
Optimizing ANN models with PSO for predicting short building seismic response
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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Rock tensile strength prediction using empirical and soft computing approaches
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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