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Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
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Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results

Abualigah, Laith ; Elaziz, Mohamed Abd ; Khasawneh, Ahmad M. ; Alshinwan, Mohammad ; Ibrahim, Rehab Ali ; Al-qaness, Mohammed A. A. ; Mirjalili, Seyedali ; Sumari, Putra ; Gandomi, Amir H.

Neural computing & applications, 2022-03, Vol.34 (6), p.4081-4110 [Periódico revisado por pares]

London: Springer London

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Research on prediction model of geotechnical parameters based on BP neural network
Research on prediction model of geotechnical parameters based on BP neural network
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Research on prediction model of geotechnical parameters based on BP neural network

Cui, Kai ; Jing, Xiang

Neural computing & applications, 2019-12, Vol.31 (12), p.8205-8215 [Periódico revisado por pares]

London: Springer London

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Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm
Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm
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Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm

Liu, Datong ; Luo, Yue ; Liu, Jie ; Peng, Yu ; Guo, Limeng ; Pecht, Michael

Neural computing & applications, 2014-09, Vol.25 (3-4), p.557-572 [Periódico revisado por pares]

London: Springer London

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4
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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5
A deep learning approach for Parkinson’s disease diagnosis from EEG signals
A deep learning approach for Parkinson’s disease diagnosis from EEG signals
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A deep learning approach for Parkinson’s disease diagnosis from EEG signals

Oh, Shu Lih ; Hagiwara, Yuki ; Raghavendra, U. ; Yuvaraj, Rajamanickam ; Arunkumar, N. ; Murugappan, M. ; Acharya, U. Rajendra

Neural computing & applications, 2020-08, Vol.32 (15), p.10927-10933 [Periódico revisado por pares]

London: Springer London

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6
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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7
Feature selection via a novel chaotic crow search algorithm
Feature selection via a novel chaotic crow search algorithm
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Feature selection via a novel chaotic crow search algorithm

Sayed, Gehad Ismail ; Hassanien, Aboul Ella ; Azar, Ahmad Taher

Neural computing & applications, 2019-01, Vol.31 (1), p.171-188 [Periódico revisado por pares]

London: Springer London

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8
Accurate photovoltaic power forecasting models using deep LSTM-RNN
Accurate photovoltaic power forecasting models using deep LSTM-RNN
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Accurate photovoltaic power forecasting models using deep LSTM-RNN

Abdel-Nasser, Mohamed ; Mahmoud, Karar

Neural computing & applications, 2019-07, Vol.31 (7), p.2727-2740 [Periódico revisado por pares]

London: Springer London

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9
A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
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A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications

Abualigah, Laith ; Diabat, Ali

Neural computing & applications, 2020-10, Vol.32 (19), p.15533-15556 [Periódico revisado por pares]

London: Springer London

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10
The importance of interpretability and visualization in machine learning for applications in medicine and health care
The importance of interpretability and visualization in machine learning for applications in medicine and health care
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The importance of interpretability and visualization in machine learning for applications in medicine and health care

Vellido, Alfredo

Neural computing & applications, 2020-12, Vol.32 (24), p.18069-18083 [Periódico revisado por pares]

London: Springer London

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