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ORCIDRaheleh Jafari
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2020 – today
- 2021
[b1]Sina Razvarz, Raheleh Jafari, Alexander E. Gegov:
Flow Modelling and Control in Pipeline Systems - A Formal Systematic Approach. Springer 2021, ISBN 978-3-030-59245-5, pp. 1-198- [j8]Raheleh Jafari, Wen Yu
, Sina Razvarz, Alexander E. Gegov:
Numerical methods for solving fuzzy equations: A survey. Fuzzy Sets Syst. 404: 1-22 (2021) - [c27]Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Alexander E. Gegov, Omar Ali:
Leakage Detection for Pipe Systems with Fuzzy Monitoring Strategy. SSCI 2021: 1-6 - 2020
- [j7]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
Neural Network Approach to Solving Fuzzy Nonlinear Equations Using Z-Numbers. IEEE Trans. Fuzzy Syst. 28(7): 1230-1241 (2020) - [j6]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
A Novel Technique for Solving Fully Fuzzy Nonlinear Systems Based on Neural Networks. Vietnam. J. Comput. Sci. 7(1): 93-107 (2020) - [c26]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Boriana Vatchova:
A Survey on Applications of Neuro-Fuzzy Models. IEEE Conf. on Intelligent Systems 2020: 148-152 - [c25]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Boriana Vatchova:
Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art. IEEE Conf. on Intelligent Systems 2020: 178-182 - [c24]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
Applications of Z-Numbers and Neural Networks in Engineering. SAI (3) 2020: 12-25 - [c23]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
End-to-End Memory Networks: A Survey. SAI (2) 2020: 291-300 - [c22]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
2010 – 2019
- 2019
- [j5]Sina Razvarz, Cristobal Vargas-Jarillo, Raheleh Jafari, Alexander E. Gegov:
Flow Control of Fluid in Pipelines Using PID Controller. IEEE Access 7: 25673-25680 (2019) - [c21]Sina Razvarz, Raheleh Jafari, Cristóbal Vargas-Jarillo:
Modelling and Analysis of Flow Rate and Pressure Head in Pipelines. CCE 2019: 1-6 - [c20]Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Alexander E. Gegov:
The Effect of Baffles on Heat Transfer. ICINCO (2) 2019: 607-612 - [c19]Sina Razvarz, Cristobal Vargas-Jarillo, Raheleh Jafari:
Pipeline Monitoring Architecture Based on Observability and Controllability Analysis. ICM 2019: 420-423 - [c18]Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Wen Yu:
Control of Flow Rate in Pipeline Using PID Controller. ICNSC 2019: 293-298 - [c17]Raheleh Jafari, Sina Razvarz, Wen Yu, Alexander E. Gegov, Morten Goodwin, Mo Adda:
Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. IntelliSys (1) 2019: 228-236 - [c16]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Wen Yu:
Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. UKCI 2019: 3-14 - 2018
- [c15]Sina Razvarz, Raheleh Jafari, Ole-Christoffer Granmo, Alexander E. Gegov:
Solution of Dual Fuzzy Equations Using a New Iterative Method. ACIIDS (2) 2018: 245-255 - [c14]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
A New Computational Method for Solving Fully Fuzzy Nonlinear Systems. ICCCI (1) 2018: 503-512 - [c13]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
Solving Differential Equations with Z-Numbers by Utilizing Fuzzy Sumudu Transform. IntelliSys (2) 2018: 1125-1138 - [c12]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Satyam Paul:
Modeling and Control of Uncertain Nonlinear Systems. IEEE Conf. on Intelligent Systems 2018: 168-173 - [c11]Martial Tatchum, Alexander E. Gegov, Raheleh Jafari, Sina Razvarz:
Parallel Distributed Compensation for Voltage Controlled Active Magnetic Bearing System using Integral Fuzzy Model. IEEE Conf. on Intelligent Systems 2018: 190-198 - [c10]Sina Razvarz, Raheleh Jafari, Alexander E. Gegov:
Solving Partial Differential Equations with Bernstein Neural Networks. UKCI 2018: 57-70 - [c9]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Satyam Paul:
Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers. UKCI 2018: 96-107 - 2017
- [j4]Raheleh Jafari, Wen Yu, Xiaoou Li, Sina Razvarz:
Numerical Solution of Fuzzy Differential Equations with Z-numbers Using Bernstein Neural Networks. Int. J. Comput. Intell. Syst. 10(1): 1226-1237 (2017) - [c8]Sina Razvarz, Raheleh Jafari, Wen Yu, Alireza Khalili Golmankhaneh:
PSO and NN modeling for photocatalytic removal of pollution in wastewater. CCE 2017: 1-6 - [c7]Raheleh Jafari, Wen Yu:
Uncertain nonlinear system control with fuzzy differential equations and Z-numbers. ICIT 2017: 749-754 - [c6]Raheleh Jafari, Wen Yu:
Uncertain nonlinear system control with fuzzy differential equations and Z-numbers. ICIT 2017: 890-895 - [c5]Raheleh Jafari, Sina Razvarz:
Solution of fuzzy differential equations using fuzzy Sumudu transforms. INISTA 2017: 84-89 - 2016
- [j3]Raheleh Jafari, Wen Yu, Xiaoou Li:
Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks. IEEE Access 4: 9428-9436 (2016) - [c4]Raheleh Jafari, Wen Yu, Xiaoou Li:
Solving fuzzy differential equation with Bernstein neural networks. SMC 2016: 1245-1250 - 2015
- [j2]Ahmad Jafarian, Raheleh Jafari, Alireza Khalili Golmankhaneh, Dumitru Baleanu:
Solving fully fuzzy polynomials using feed-back neural networks. Int. J. Comput. Math. 92(4): 742-755 (2015) - [j1]Raheleh Jafari, Wen Yu:
Fuzzy control for uncertainty nonlinear systems with dual fuzzy equations. J. Intell. Fuzzy Syst. 29(3): 1229-1240 (2015) - [c3]Raheleh Jafari, Wen Yu:
Artificial neural network approach for solving strongly degenerate parabolic and burgers-fisher equations. CCE 2015: 1-6 - [c2]Raheleh Jafari, Wen Yu:
Uncertainty Nonlinear Systems Modeling with Fuzzy Equations. IRI 2015: 182-188 - [c1]Raheleh Jafari, Wen Yu:
Uncertainty Nonlinear Systems Control with Fuzzy Equations. SMC 2015: 2885-2890
Coauthor Index
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