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1
Prairie Dog Optimization Algorithm
Prairie Dog Optimization Algorithm
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Prairie Dog Optimization Algorithm

Neural computing & applications, 2022-11, Vol.34 (22), p.20017-20065 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-022-07530-9

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2
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

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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3
A dynamic ensemble learning algorithm for neural networks
A dynamic ensemble learning algorithm for neural networks
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A dynamic ensemble learning algorithm for neural networks

Neural computing & applications, 2020-06, Vol.32 (12), p.8675-8690 [Peer Reviewed Journal]

The Author(s) 2019 ;The Author(s) 2019. 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/s00521-019-04359-7

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4
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
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

Neural computing & applications, 2021-05, Vol.33 (9), p.4501-4532 [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/s00521-020-05244-4

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5
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

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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6
Concrete compressive strength using artificial neural networks
Concrete compressive strength using artificial neural networks
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Concrete compressive strength using artificial neural networks

Neural computing & applications, 2020-08, Vol.32 (15), p.11807-11826 [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/s00521-019-04663-2

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7
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

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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8
A transfer convolutional neural network for fault diagnosis based on ResNet-50
A transfer convolutional neural network for fault diagnosis based on ResNet-50
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A transfer convolutional neural network for fault diagnosis based on ResNet-50

Neural computing & applications, 2020-05, Vol.32 (10), p.6111-6124 [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/s00521-019-04097-w

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9
FEMa: a finite element machine for fast learning
FEMa: a finite element machine for fast learning
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FEMa: a finite element machine for fast learning

Neural computing & applications, 2020-05, Vol.32 (10), p.6393-6404 [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/s00521-019-04146-4

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10
Coronavirus herd immunity optimizer (CHIO)
Coronavirus herd immunity optimizer (CHIO)
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Coronavirus herd immunity optimizer (CHIO)

Neural computing & applications, 2021-05, Vol.33 (10), p.5011-5042 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;COPYRIGHT 2021 Springer ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05296-6 ;PMID: 32874019

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11
Industry use of virtual reality in product design and manufacturing: a survey
Industry use of virtual reality in product design and manufacturing: a survey
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Industry use of virtual reality in product design and manufacturing: a survey

Virtual reality : the journal of the Virtual Reality Society, 2017-03, Vol.21 (1), p.1-17 [Peer Reviewed Journal]

Springer-Verlag London 2016 ;Virtual Reality is a copyright of Springer, 2017. ;ISSN: 1359-4338 ;EISSN: 1434-9957 ;DOI: 10.1007/s10055-016-0293-9

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12
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm
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Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm

Neural computing & applications, 2020-07, Vol.32 (13), p.9383-9425 [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/s00521-019-04452-x

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13
Adversarial frontier stitching for remote neural network watermarking
Adversarial frontier stitching for remote neural network watermarking
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Adversarial frontier stitching for remote neural network watermarking

Neural computing & applications, 2020-07, Vol.32 (13), p.9233-9244 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04434-z

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14
Chaotic grasshopper optimization algorithm for global optimization
Chaotic grasshopper optimization algorithm for global optimization
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Chaotic grasshopper optimization algorithm for global optimization

Neural computing & applications, 2019-08, Vol.31 (8), p.4385-4405 [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/s00521-018-3343-2

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15
Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations
Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations
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Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations

Neural computing & applications, 2017-07, Vol.28 (7), p.1591-1610 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2015 ;Copyright Springer Science & Business Media 2017 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-015-2110-x

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16
A novel image encryption scheme based on DNA sequence operations and chaotic systems
A novel image encryption scheme based on DNA sequence operations and chaotic systems
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A novel image encryption scheme based on DNA sequence operations and chaotic systems

Neural computing & applications, 2019-01, Vol.31 (1), p.219-237 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2017 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-2993-9

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17
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
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A fast accurate fine-grain object detection model based on YOLOv4 deep neural network

Neural computing & applications, 2022-03, Vol.34 (5), p.3895-3921 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06651-x

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18
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
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Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer

Neural computing & applications, 2023-02, Vol.35 (5), p.4099-4131 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-022-07854-6

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19
Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification
Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification
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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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20
Review on cybersickness in applications and visual displays
Review on cybersickness in applications and visual displays
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Review on cybersickness in applications and visual displays

Virtual reality : the journal of the Virtual Reality Society, 2016-06, Vol.20 (2), p.101-125 [Peer Reviewed Journal]

Springer-Verlag London 2016 ;ISSN: 1359-4338 ;EISSN: 1434-9957 ;DOI: 10.1007/s10055-016-0285-9

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