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Refinado por: Nome da Publicação: Neural Computing & Applications remover
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1
Soil–conduit interaction: an artificial intelligence application for reinforced concrete and corrugated steel conduits
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Soil–conduit interaction: an artificial intelligence application for reinforced concrete and corrugated steel conduits

Khan, Muhammad Umer Arif ; Shukla, Sanjay Kumar ; Raja, Muhammad Nouman Amjad

Neural computing & applications, 2021-11, Vol.33 (21), p.14861-14885 [Periódico revisado por pares]

London: Springer London

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2
Cross-domain dynamic access control based on “blockchain + artificial intelligence”
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Cross-domain dynamic access control based on “blockchain + artificial intelligence

Wang, Fengling ; Hu, Zhenlong ; Wang, Han ; Chen, Xingji ; Feng, Weigong

Neural computing & applications, 2023-12, Vol.35 (35), p.24575-24585 [Periódico revisado por pares]

London: Springer London

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An integrated approach for estimating static Young’s modulus using artificial intelligence tools
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An integrated approach for estimating static Young’s modulus using artificial intelligence tools

Elkatatny, Salaheldin ; Tariq, Zeeshan ; Mahmoud, Mohamed ; Abdulraheem, Abdulazeez ; Mohamed, Ibrahim

Neural computing & applications, 2019-08, Vol.31 (8), p.4123-4135 [Periódico revisado por pares]

London: Springer London

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4
HihO: accelerating artificial intelligence interpretability for medical imaging in IoT applications using hierarchical occlusion: Opening the black box
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HihO: accelerating artificial intelligence interpretability for medical imaging in IoT applications using hierarchical occlusion: Opening the black box

Monroe, William S. ; Skidmore, Frank M. ; Odaibo, David G. ; Tanik, Murat M.

Neural computing & applications, 2021-06, Vol.33 (11), p.6027-6038 [Periódico revisado por pares]

London: Springer London

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5
HayCAMJ: A new method to uncover the importance of main filter for small objects in explainable artificial intelligence
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HayCAMJ: A new method to uncover the importance of main filter for small objects in explainable artificial intelligence

Ornek, Ahmet Haydar ; Ceylan, Murat

Neural computing & applications, 2024-06, Vol.36 (18), p.10791-10798 [Periódico revisado por pares]

London: Springer London

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6
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
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A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

Armaghani, Danial Jahed ; Asteris, Panagiotis G.

Neural computing & applications, 2021-05, Vol.33 (9), p.4501-4532 [Periódico revisado por pares]

London: Springer London

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7
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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8
Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
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Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

Asteris, Panagiotis G. ; Nikoo, Mehdi

Neural computing & applications, 2019-09, Vol.31 (9), p.4837-4847 [Periódico revisado por pares]

London: Springer London

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9
Global research on artificial intelligence-enhanced human electroencephalogram analysis
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Global research on artificial intelligence-enhanced human electroencephalogram analysis

Chen, Xieling ; Tao, Xiaohui ; Wang, Fu Lee ; Xie, Haoran

Neural computing & applications, 2022-07, Vol.34 (14), p.11295-11333 [Periódico revisado por pares]

London: Springer London

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10
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
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A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems

Bahrammirzaee, Arash

Neural computing & applications, 2010-11, Vol.19 (8), p.1165-1195 [Periódico revisado por pares]

London: Springer-Verlag

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