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Refined by: Journal Title: Neural Computing And Applications remove
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1
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

Neural computing & applications, 2019-11, Vol.31 (11), p.7041-7053 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3521-2

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2
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

Neural computing & applications, 2020-08, Vol.32 (15), p.10927-10933 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;The Natural Computing Applications Forum 2018. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3689-5

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3
Feature selection via a novel chaotic crow search algorithm
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Feature selection via a novel chaotic crow search algorithm

Neural computing & applications, 2019-01, Vol.31 (1), p.171-188 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2017 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-2988-6

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4
Accurate photovoltaic power forecasting models using deep LSTM-RNN
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Accurate photovoltaic power forecasting models using deep LSTM-RNN

Neural computing & applications, 2019-07, Vol.31 (7), p.2727-2740 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2017 ;Neural Computing and Applications is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-3225-z

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5
A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
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Article
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A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications

Neural computing & applications, 2020-10, Vol.32 (19), p.15533-15556 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04789-8

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6
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

Neural computing & applications, 2020-12, Vol.32 (24), p.18069-18083 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;info:eu-repo/semantics/openAccess ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04051-w

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7
Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification
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Article
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Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification

Neural computing & applications, 2021-07, Vol.33 (13), p.7723-7745 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05514-1

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8
A survey of FPGA-based accelerators for convolutional neural networks
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A survey of FPGA-based accelerators for convolutional neural networks

Neural computing & applications, 2020-02, Vol.32 (4), p.1109-1139 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3761-1

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9
A chaotic image encryption algorithm based on 3-D bit-plane permutation
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A chaotic image encryption algorithm based on 3-D bit-plane permutation

Neural computing & applications, 2019-11, Vol.31 (11), p.7111-7130 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3541-y

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10
Research on path planning of mobile robot based on improved ant colony algorithm
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Article
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Research on path planning of mobile robot based on improved ant colony algorithm

Neural computing & applications, 2020-03, Vol.32 (6), p.1555-1566 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Neural Computing and Applications is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04172-2

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11
Stock closing price prediction based on sentiment analysis and LSTM
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Article
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Stock closing price prediction based on sentiment analysis and LSTM

Neural computing & applications, 2020-07, Vol.32 (13), p.9713-9729 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04504-2

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12
Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm
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Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm

Neural computing & applications, 2021-09, Vol.33 (17), p.10799-10811 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05082-4

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13
Research on water temperature prediction based on improved support vector regression
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Article
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Research on water temperature prediction based on improved support vector regression

Neural computing & applications, 2022-06, Vol.34 (11), p.8501-8510 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04836-4

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14
Epileptic seizure detection using hybrid machine learning methods
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Article
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Epileptic seizure detection using hybrid machine learning methods

Neural computing & applications, 2019-01, Vol.31 (1), p.317-325 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2017 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-3003-y

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15
Deep learning in vision-based static hand gesture recognition
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Article
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Deep learning in vision-based static hand gesture recognition

Neural computing & applications, 2017-12, Vol.28 (12), p.3941-3951 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2017 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2294-8

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16
An efficient optimization approach for designing machine learning models based on genetic algorithm
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An efficient optimization approach for designing machine learning models based on genetic algorithm

Neural computing & applications, 2021-03, Vol.33 (6), p.1923-1933 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05035-x

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17
A review of feature selection methods based on mutual information
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Article
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A review of feature selection methods based on mutual information

Neural computing & applications, 2014-01, Vol.24 (1), p.175-186 [Peer Reviewed Journal]

Springer-Verlag London 2013 ;2015 INIST-CNRS ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-013-1368-0

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18
Text classification based on deep belief network and softmax regression
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Article
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Text classification based on deep belief network and softmax regression

Neural computing & applications, 2018-01, Vol.29 (1), p.61-70 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2018 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2401-x

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19
On the exploration and exploitation in popular swarm-based metaheuristic algorithms
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Article
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On the exploration and exploitation in popular swarm-based metaheuristic algorithms

Neural computing & applications, 2019-11, Vol.31 (11), p.7665-7683 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3592-0

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20
Deep learning for procedural content generation
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Article
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Deep learning for procedural content generation

Neural computing & applications, 2021-01, Vol.33 (1), p.19-37 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05383-8

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