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11
Technologies of improving the university efficiency by using artificial intelligence: motivational aspect
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Technologies of improving the university efficiency by using artificial intelligence: motivational aspect

Vinichenko, Mikhail V. ; Melnichuk, Alexander V. ; Karácsony, Peter

Entrepreneurship and Sustainability Issues, 2020-06, Vol.7 (4), p.2696-2714 [Periódico revisado por pares]

Vilnius: Entrepreneurship and Sustainability Center

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12
Branching Densities of Cube-Free and Square-Free Words
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Branching Densities of Cube-Free and Square-Free Words

Petrova, Elena A. ; Shur, Arseny M.

Algorithms, 2021-04, Vol.14 (4), p.126 [Periódico revisado por pares]

Basel: MDPI AG

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13
Protein asparagine deamidation prediction based on structures with machine learning methods
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Protein asparagine deamidation prediction based on structures with machine learning methods

Jia, Lei ; Sun, Yaxiong de Brevern, Alexandre G.

PloS one, 2017-07, Vol.12 (7), p.e0181347-e0181347 [Periódico revisado por pares]

United States: Public Library of Science

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14
Automatic classification of skin burn colour images using texture-based feature extraction
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Automatic classification of skin burn colour images using texture-based feature extraction

Şevik, Uğur ; Karakullukçu, Erdinç ; Berber, Tolga ; Akbaş, Yeşim ; Türkyılmaz, Serdar

IET image processing, 2019-09, Vol.13 (11), p.2018-2028 [Periódico revisado por pares]

The Institution of Engineering and Technology

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15
Application of Deep Learning for Code Smell Detection: Challenges and Opportunities
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Application of Deep Learning for Code Smell Detection: Challenges and Opportunities

Hadj-Kacem, Mouna ; Bouassida, Nadia

SN computer science, 2024-06, Vol.5 (5), p.614, Article 614 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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16
Drilling rate prediction from petrophysical logs and mud logging data using an optimized multilayer perceptron neural network
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Drilling rate prediction from petrophysical logs and mud logging data using an optimized multilayer perceptron neural network

Anemangely, Mohammad ; Ramezanzadeh, Ahmad ; Tokhmechi, Behzad ; Molaghab, Abdollah ; Mohammadian, Aram

Journal of geophysics and engineering, 2018-08, Vol.15 (4), p.1146-1159 [Periódico revisado por pares]

IOP Publishing

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17
Do We Trust in AI? Role of Anthropomorphism and Intelligence
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Do We Trust in AI? Role of Anthropomorphism and Intelligence

Troshani, Indrit ; Rao Hill, Sally ; Sherman, Claire ; Arthur, Damien

The Journal of computer information systems, 2021-09, Vol.61 (5), p.481-491 [Periódico revisado por pares]

Stillwater: Taylor & Francis

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18
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
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Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives

Xie, Yuting ; Zaccagna, Fulvio ; Rundo, Leonardo ; Testa, Claudia ; Agati, Raffaele ; Lodi, Raffaele ; Manners, David Neil ; Tonon, Caterina

Diagnostics (Basel), 2022-07, Vol.12 (8), p.1850 [Periódico revisado por pares]

Basel: MDPI AG

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19
Eye of the AI storm: Exploring the impact of AI tools in ophthalmology
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Eye of the AI storm: Exploring the impact of AI tools in ophthalmology

Honavar, Santosh

Indian journal of ophthalmology, 2023-06, Vol.71 (6), p.2328-2340 [Periódico revisado por pares]

India: Wolters Kluwer India Pvt. Ltd

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20
Cross-docking Location Selection in Distribution Systems: A New Intuitionistic Fuzzy Hierarchical Decision Model
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Cross-docking Location Selection in Distribution Systems: A New Intuitionistic Fuzzy Hierarchical Decision Model

Mousavi, S. Meysam ; Vahdani, Behnam

International journal of computational intelligence systems, 2016-01, Vol.9 (1), p.91-109 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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