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1
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
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Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

The Artificial intelligence review, 2019-12, Vol.52 (4), p.2263-2293 [Peer Reviewed Journal]

Springer Science+Business Media B.V., part of Springer Nature 2018 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9610-2

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2
Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity
Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity
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Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity

Processes, 2023-02, Vol.11 (2), p.349 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2227-9717 ;EISSN: 2227-9717 ;DOI: 10.3390/pr11020349

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3
Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model
Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model
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Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model

Engineering with computers, 2022-08, Vol.38 (Suppl 3), p.2407-2421 [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: 0177-0667 ;EISSN: 1435-5663 ;DOI: 10.1007/s00366-021-01342-6

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4
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
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Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease

Computers in biology and medicine, 2021-07, Vol.134, p.104427-104427, Article 104427 [Peer Reviewed Journal]

2021 Elsevier Ltd ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104427

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5
K-Means Clustering Algorithm Based on Chaotic Adaptive Artificial Bee Colony
K-Means Clustering Algorithm Based on Chaotic Adaptive Artificial Bee Colony
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K-Means Clustering Algorithm Based on Chaotic Adaptive Artificial Bee Colony

Algorithms, 2021-02, Vol.14 (2), p.53 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a14020053

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6
A Novel Evolutionary Arithmetic Optimization Algorithm for Multilevel Thresholding Segmentation of COVID-19 CT Images
A Novel Evolutionary Arithmetic Optimization Algorithm for Multilevel Thresholding Segmentation of COVID-19 CT Images
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A Novel Evolutionary Arithmetic Optimization Algorithm for Multilevel Thresholding Segmentation of COVID-19 CT Images

Processes, 2021-07, Vol.9 (7), p.1155 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2227-9717 ;EISSN: 2227-9717 ;DOI: 10.3390/pr9071155

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7
Multi-Objective Whale Optimization Algorithm for Computation Offloading Optimization in Mobile Edge Computing
Multi-Objective Whale Optimization Algorithm for Computation Offloading Optimization in Mobile Edge Computing
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Multi-Objective Whale Optimization Algorithm for Computation Offloading Optimization in Mobile Edge Computing

Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2628 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21082628 ;PMID: 33918037

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8
Golden Sine Algorithm: A Novel Math-Inspired Algorithm
Golden Sine Algorithm: A Novel Math-Inspired Algorithm
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Golden Sine Algorithm: A Novel Math-Inspired Algorithm

Advances in Electrical and Computer Engineering, 2017-05, Vol.17 (2), p.71-78 [Peer Reviewed Journal]

COPYRIGHT 2017 Stefan cel Mare University of Suceava ;Copyright Stefan cel Mare University of Suceava 2017 ;ISSN: 1582-7445 ;EISSN: 1844-7600 ;DOI: 10.4316/AECE.2017.02010

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9
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
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Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

Water resources management, 2017-07, Vol.31 (9), p.2761-2775 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2017 ;Water Resources Management is a copyright of Springer, 2017. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-017-1660-3

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10
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy
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Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy

Computers in biology and medicine, 2021-12, Vol.139, p.105015-105015, Article 105015 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105015 ;PMID: 34800808

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11
A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star
A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star
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A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star

Computers in biology and medicine, 2021-11, Vol.138, p.104866-104866, Article 104866 [Peer Reviewed Journal]

2021 Elsevier Ltd ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104866 ;PMID: 34598065

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12
Multi-Satellite Imaging Task Planning for Large Regional Coverage: A Heuristic Algorithm Based on Triple Grids Method
Multi-Satellite Imaging Task Planning for Large Regional Coverage: A Heuristic Algorithm Based on Triple Grids Method
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Multi-Satellite Imaging Task Planning for Large Regional Coverage: A Heuristic Algorithm Based on Triple Grids Method

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (1), p.194 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16010194

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13
A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications
A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications
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A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications

Applied sciences, 2020-06, Vol.10 (11), p.3827 [Peer Reviewed Journal]

COPYRIGHT 2020 MDPI AG ;2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10113827

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14
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
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A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features

BMC bioinformatics, 2019-06, Vol.20 (Suppl 8), p.290-290, Article 290 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed 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. ;The Author(s). 2019 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-2771-z ;PMID: 31182028

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15
Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study
Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study
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Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study

Energies (Basel), 2017, Vol.10 (2), p.245-245 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en10020245

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16
A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection
A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection
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A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection

BMC bioinformatics, 2023-12, Vol.24 (1), p.479-479, Article 479 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-023-05605-5 ;PMID: 38102551

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17
FeatureSelect: a software for feature selection based on machine learning approaches
FeatureSelect: a software for feature selection based on machine learning approaches
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FeatureSelect: a software for feature selection based on machine learning approaches

BMC bioinformatics, 2019-04, Vol.20 (1), p.170-170, Article 170 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed 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. ;The Author(s). 2019 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-2754-0 ;PMID: 30943889

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18
Comparative Study on the Synthesis of Path-Generating Four-Bar Linkages Using Metaheuristic Optimization Algorithms
Comparative Study on the Synthesis of Path-Generating Four-Bar Linkages Using Metaheuristic Optimization Algorithms
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Comparative Study on the Synthesis of Path-Generating Four-Bar Linkages Using Metaheuristic Optimization Algorithms

Applied sciences, 2022-08, Vol.12 (15), p.7368 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12157368

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19
A new method in multimodal optimization based on firefly algorithm
A new method in multimodal optimization based on firefly algorithm
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A new method in multimodal optimization based on firefly algorithm

The Artificial intelligence review, 2016-08, Vol.46 (2), p.267-287 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2016 Springer ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9463-0

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20
A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction
A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction
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A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction

Remote sensing (Basel, Switzerland), 2023-06, Vol.15 (12), p.2953 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15122953

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