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An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets
An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets
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An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets

Mahmood, Tahir ; Ullah, Kifayat ; Khan, Qaisar ; Jan, Naeem

Neural computing & applications, 2019-11, Vol.31 (11), p.7041-7053 [Periódico revisado por pares]

London: Springer London

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12
Concrete compressive strength using artificial neural networks
Concrete compressive strength using artificial neural networks
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Concrete compressive strength using artificial neural networks

Asteris, Panagiotis G. ; Mokos, Vaseilios G.

Neural computing & applications, 2020-08, Vol.32 (15), p.11807-11826 [Periódico revisado por pares]

London: Springer London

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13
Grey wolf optimizer: a review of recent variants and applications
Grey wolf optimizer: a review of recent variants and applications
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Grey wolf optimizer: a review of recent variants and applications

Faris, Hossam ; Aljarah, Ibrahim ; Al-Betar, Mohammed Azmi ; Mirjalili, Seyedali

Neural computing & applications, 2018-07, Vol.30 (2), p.413-435 [Periódico revisado por pares]

London: Springer London

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14
A transfer convolutional neural network for fault diagnosis based on ResNet-50
A transfer convolutional neural network for fault diagnosis based on ResNet-50
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A transfer convolutional neural network for fault diagnosis based on ResNet-50

Wen, Long ; Li, Xinyu ; Gao, Liang

Neural computing & applications, 2020-05, Vol.32 (10), p.6111-6124 [Periódico revisado por pares]

London: Springer London

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15
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
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Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Mirjalili, Seyedali

Neural computing & applications, 2016-05, Vol.27 (4), p.1053-1073 [Periódico revisado por pares]

London: Springer London

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16
Deep learning for prediction of depressive symptoms in a large textual dataset
Deep learning for prediction of depressive symptoms in a large textual dataset
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Deep learning for prediction of depressive symptoms in a large textual dataset

Uddin, Md Zia ; Dysthe, Kim Kristoffer ; Følstad, Asbjørn ; Brandtzaeg, Petter Bae

Neural computing & applications, 2022, Vol.34 (1), p.721-744 [Periódico revisado por pares]

London: Springer London

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17
A dynamic ensemble learning algorithm for neural networks
A dynamic ensemble learning algorithm for neural networks
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A dynamic ensemble learning algorithm for neural networks

Alam, Kazi Md. Rokibul ; Siddique, Nazmul ; Adeli, Hojjat

Neural computing & applications, 2020-06, Vol.32 (12), p.8675-8690 [Periódico revisado por pares]

London: Springer London

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18
Monarch butterfly optimization
Monarch butterfly optimization
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Monarch butterfly optimization

Wang, Gai-Ge ; Deb, Suash ; Cui, Zhihua

Neural computing & applications, 2019-07, Vol.31 (7), p.1995-2014 [Periódico revisado por pares]

London: Springer London

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19
Efficient deep learning approach for augmented detection of Coronavirus disease
Efficient deep learning approach for augmented detection of Coronavirus disease
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Efficient deep learning approach for augmented detection of Coronavirus disease

Sedik, Ahmed ; Hammad, Mohamed ; Abd El-Samie, Fathi E. ; Gupta, Brij B. ; Abd El-Latif, Ahmed A.

Neural computing & applications, 2022-07, Vol.34 (14), p.11423-11440 [Periódico revisado por pares]

London: Springer London

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20
An optimal pruning algorithm of classifier ensembles: dynamic programming approach
An optimal pruning algorithm of classifier ensembles: dynamic programming approach
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An optimal pruning algorithm of classifier ensembles: dynamic programming approach

Alzubi, Omar A. ; Alzubi, Jafar A. ; Alweshah, Mohammed ; Qiqieh, Issa ; Al-Shami, Sara ; Ramachandran, Manikandan

Neural computing & applications, 2020-10, Vol.32 (20), p.16091-16107 [Periódico revisado por pares]

London: Springer London

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