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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, 2019-12, Vol.9 (24), p.5534 [Periódico revisado por pares]

Basel: MDPI AG

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2
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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3
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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4
Predicting the compressive strength of concrete from its compositions and age using the extreme gradient boosting method
Predicting the compressive strength of concrete from its compositions and age using the extreme gradient boosting method
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Predicting the compressive strength of concrete from its compositions and age using the extreme gradient boosting method

Nguyen-Sy, Tuan ; Wakim, Jad ; To, Quy-Dong ; Vu, Minh-Ngoc ; Nguyen, The-Duong ; Nguyen, Thoi-Trung

Construction & building materials, 2020-11, Vol.260, p.119757, Article 119757 [Periódico revisado por pares]

Elsevier Ltd

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5
Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
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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6
Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks
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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7
State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
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State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

Mosavi, Amir ; Salimi, Mohsen ; Faizollahzadeh Ardabili, Sina ; Rabczuk, Timon ; Shamshirband, Shahaboddin ; Varkonyi-Koczy, Annamaria R.

Energies (Basel), 2019-04, Vol.12 (7), p.1301 [Periódico revisado por pares]

Basel: MDPI AG

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8
Performance and optimization of bio-oil/Buton rock asphalt composite modified asphalt
Performance and optimization of bio-oil/Buton rock asphalt composite modified asphalt
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Performance and optimization of bio-oil/Buton rock asphalt composite modified asphalt

Lv, Songtao ; Yuan, Jiang ; Peng, Xinghai ; Borges Cabrera, Milkos ; Guo, Shuaicheng ; Luo, Xinzi ; Gao, Junfeng

Construction & building materials, 2020-12, Vol.264, p.120235, Article 120235 [Periódico revisado por pares]

Elsevier Ltd

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9
Optimization of foam concrete characteristics using response surface methodology and artificial neural networks
Optimization of foam concrete characteristics using response surface methodology and artificial neural networks
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Optimization of foam concrete characteristics using response surface methodology and artificial neural networks

Kursuncu, Bilal ; Gencel, Osman ; Bayraktar, Oguzhan Yavuz ; Shi, Jinyan ; Nematzadeh, Mahdi ; Kaplan, Gokhan

Construction & building materials, 2022-06, Vol.337, p.127575, Article 127575 [Periódico revisado por pares]

Elsevier Ltd

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10
Path Loss Prediction based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network and Gaussian Process
Path Loss Prediction based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network and Gaussian Process
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Path Loss Prediction based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network and Gaussian Process

Jo, Han-Shin ; Park, Chanshin ; Lee, Eunhyoung ; Choi, Haing Kun ; Park, Jaedon

Sensors (Basel, Switzerland), 2020-03, Vol.20 (7), p.1927 [Periódico revisado por pares]

Switzerland: MDPI

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