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Refinado por: Nome da Publicação: Neural Computing & Applications remover assunto: Optimization remover
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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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2
Salp swarm algorithm: a comprehensive survey
Salp swarm algorithm: a comprehensive survey
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Salp swarm algorithm: a comprehensive survey

Abualigah, Laith ; Shehab, Mohammad ; Alshinwan, Mohammad ; Alabool, Hamzeh

Neural computing & applications, 2020-08, Vol.32 (15), p.11195-11215 [Periódico revisado por pares]

London: Springer London

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3
Moth–flame optimization algorithm: variants and applications
Moth–flame optimization algorithm: variants and applications
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Moth–flame optimization algorithm: variants and applications

Shehab, Mohammad ; Abualigah, Laith ; Al Hamad, Husam ; Alabool, Hamzeh ; Alshinwan, Mohammad ; Khasawneh, Ahmad M.

Neural computing & applications, 2020-07, Vol.32 (14), p.9859-9884 [Periódico revisado por pares]

London: Springer London

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4
Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
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Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier

Shakeel, P. Mohamed ; Burhanuddin, M. A. ; Desa, Mohammad Ishak

Neural computing & applications, 2022-06, Vol.34 (12), p.9579-9592 [Periódico revisado por pares]

London: Springer London

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5
Human action recognition with bag of visual words using different machine learning methods and hyperparameter optimization
Human action recognition with bag of visual words using different machine learning methods and hyperparameter optimization
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Human action recognition with bag of visual words using different machine learning methods and hyperparameter optimization

Aslan, Muhammet Fatih ; Durdu, Akif ; Sabanci, Kadir

Neural computing & applications, 2020-06, Vol.32 (12), p.8585-8597 [Periódico revisado por pares]

London: Springer London

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6
A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
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A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection

Tasci, Erdal ; Uluturk, Caner ; Ugur, Aybars

Neural computing & applications, 2021-11, Vol.33 (22), p.15541-15555 [Periódico revisado por pares]

London: Springer London

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7
EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation
EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation
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EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation

Bharti, Vandana ; Biswas, Bhaskar ; Shukla, Kaushal Kumar

Neural computing & applications, 2022-12, Vol.34 (24), p.21433-21447 [Periódico revisado por pares]

London: Springer London

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8
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm
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Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm

Singh, Pangambam Sendash ; Karthikeyan, Subbiah

Neural computing & applications, 2022-12, Vol.34 (24), p.21539-21550 [Periódico revisado por pares]

London: Springer London

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9
Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation
Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation
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Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation

Ryalat, Mohammad Hashem ; Dorgham, Osama ; Tedmori, Sara ; Al-Rahamneh, Zainab ; Al-Najdawi, Nijad ; Mirjalili, Seyedali

Neural computing & applications, 2023-03, Vol.35 (9), p.6855-6873 [Periódico revisado por pares]

London: Springer London

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10
Rough set theory with Jaya optimization for acute lymphoblastic leukemia classification
Rough set theory with Jaya optimization for acute lymphoblastic leukemia classification
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Rough set theory with Jaya optimization for acute lymphoblastic leukemia classification

Jothi, G. ; Inbarani, H. Hannah ; Azar, Ahmad Taher ; Devi, K. Renuga

Neural computing & applications, 2019-09, Vol.31 (9), p.5175-5194 [Periódico revisado por pares]

London: Springer London

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