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Farzad Arabikhan

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Books and Theses

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2017
[b1]
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Farzad Arabikhan:
Telecommuting choice modelling using fuzzy rule based networks. University of Portsmouth, UK, 2017

Journal Articles

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2024
[j6]
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Rahim Taheri, Mohammad Shojafar, Farzad Arabikhan, Alexander E. Gegov:
Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks. Comput. Secur. 146: 104035 (2024)
2021
[j5]
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Negar Akbari, Dylan F. Jones, Farzad Arabikhan:
Goal programming models with interval coefficients for the sustainable selection of marine renewable energy projects in the UK. Eur. J. Oper. Res. 293(2): 748-760 (2021)
2019
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Xiaowei Wang, Alexander E. Gegov, Farzad Arabikhan, Yuntao Chen, Qiwei Hu:
Fuzzy Network Based Framework for Software Maintainability Prediction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(5): 841-862 (2019)
2017
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Alexander E. Gegov, Farzad Arabikhan, David A. Sanders, Boriana Vatchova, Maria T. Vasileva:
Fuzzy networks with feedback rule bases for complex systems modelling. Int. J. Knowl. Based Intell. Eng. Syst. 21(4): 211-225 (2017)
2015
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Alexander E. Gegov, Farzad Arabikhan, Nedyalko Petrov:
Linguistic composition based modelling by fuzzy networks with modular rule bases. Fuzzy Sets Syst. 269: 1-29 (2015)
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Alexander E. Gegov, Farzad Arabikhan, David A. Sanders:
Rule base simplification in fuzzy systems by aggregation of inconsistent rules. J. Intell. Fuzzy Syst. 28(3): 1331-1343 (2015)

Conference and Workshop Papers

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2024
[c7]
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Ali Akbar ForouzeshNejad, Farzad Arabikhan, Nigel Williams, Alexander E. Gegov, Omer Sari, Mohamed Bader:
Agile Project Status Prediction Using Interpretable Machine Learning. IS 2024: 1-8
[c6]
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Volkan Ince, Mohamed Bader-El-Den, Farzad Arabikhan, Omer Faruk Sari:
Machine Learning for Bacterial Growth Prediction and Examination of Bacterial Impact on Growth. IS 2024: 1-6
[c5]
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Omer Faruk Sari, Mohamed Bader-El-Den, Volkan Ince, Farzad Arabikhan:
Machine Learning Approach into Bacterial Relationship: Exploring 16S rRNA Metabarcoding with Association Rule Mining. IS 2024: 1-6
2023
[c4]
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Rahim Taheri, Farzad Arabikhan, Alexander E. Gegov, Negar Akbari:
Robust Aggregation Function in Federated Learning. ICIKS 2023: 168-175
[c3]
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Dudnyk Oleksii, Sokolovska Zoia, Alexander E. Gegov, Farzad Arabikhan:
Application of Fuzzy Decision Support Systems in IT Industry Functioning. ICIKS 2023: 283-295
[c2]
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Farzad Arabikhan, Alexander E. Gegov, Rahim Taheri, Negar Akbari, Mohamed Bader-El-Den:
Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. ICIKS 2023: 296-306
2020
[c1]
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Sina Razvarz, Raheleh Jafari, Cristóbal Vargas-Jarillo, Alexander E. Gegov, Farzad Arabikhan:
Pipeline Leak Detection and Location based on Fuzzy Controller. SSCI 2020: 1944-1949

Coauthor Index

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