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1
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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2
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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3
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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4
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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5
Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids
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Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids

Qadir, Zakria ; Khan, Sara Imran ; Khalaji, Erfan ; Munawar, Hafiz Suliman ; Al-Turjman, Fadi ; Mahmud, M.A. Parvez ; Kouzani, Abbas Z. ; Le, Khoa

Energy reports, 2021-11, Vol.7, p.8465-8475 [Periódico revisado por pares]

Elsevier Ltd

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6
Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
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Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

Chen, Hui ; Asteris, Panagiotis G. ; Jahed Armaghani, Danial ; Gordan, Behrouz ; Pham, Binh Thai

Applied sciences, 2019, Vol.9 (6), p.1042 [Periódico revisado por pares]

Basel: MDPI AG

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7
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
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Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

Shamshirband, Shahaboddin ; Jafari Nodoushan, Ehsan ; Adolf, Jason E. ; Abdul Manaf, Azizah ; Mosavi, Amir ; Chau, Kwok-wing

Engineering applications of computational fluid mechanics, 2019-01, Vol.13 (1), p.91-101 [Periódico revisado por pares]

Taylor & Francis

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8
Effect of machinability, microstructure and hardness of deep cryogenic treatment in hard turning of AISI D2 steel with ceramic cutting
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Effect of machinability, microstructure and hardness of deep cryogenic treatment in hard turning of AISI D2 steel with ceramic cutting

Kara, Fuat ; Karabatak, Mustafa ; Ayyıldız, Mustafa ; Nas, Engin

Journal of materials research and technology, 2020-01, Vol.9 (1), p.969-983 [Periódico revisado por pares]

Elsevier B.V

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9
Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks
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Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks

Islam, Riadul ; Majurski, Patrick ; Kwon, Jun ; Sharma, Anurag ; Tummala, Sri Ranga Sai Krishna

Sensors (Basel, Switzerland), 2024-02, Vol.24 (4), p.1329 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
Prediction of hourly solar radiation in Tamil Nadu using ANN model with different learning algorithms
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Prediction of hourly solar radiation in Tamil Nadu using ANN model with different learning algorithms

Geetha, A. ; Santhakumar, J. ; Sundaram, K. Mohana ; Usha, S. ; Thentral, T.M. Thamizh ; Boopathi, C.S. ; Ramya, R. ; Sathyamurthy, Ravishankar

Energy reports, 2022-04, Vol.8, p.664-671 [Periódico revisado por pares]

Elsevier Ltd

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