Mohammad Teshnehlab

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Mahdi Aliyari Shoorehdeli (0000-0002...IEEE Senior Member, APAC Research Group, Mechatronics Dept., K.N. Toosi University of TechnologyVerified email at kntu.ac.ir
Mojtaba Ahmadieh KhanesarUniversity of NottinghamVerified email at exmail.nottingham.ac.uk
Mohammadali NekouiAssociate Professor of Control Engineering, K N Toosi University of TechnologyVerified email at eetd.kntu.ac.ir
Mohammad Manthouri(aka Mansouri)Assistant Professor of Electrical and Electronic Engineering Department, Shahed universityVerified email at shahed.ac.ir
Okyay KaynakVerified email at boun.edu.tr
Arash SharifiAssistant Professor, SRBIAUVerified email at srbiau.ac.ir
Ali Khaki SedighProf of Control Systems at K. N. Toosi University of Technology, APAC Research GroupVerified email at kntu.ac.ir
Faezeh Farivar, PhD, SMIEEEAssistant Professor, Dept. of Computer & Mechatronics Engineering, Science and Research Branch, IAUVerified email at srbiau.ac.ir
Amir Masoud RahmaniProfessor of Computer EngineeringVerified email at srbiau.ac.ir
Keigo WatanabeSpecially Appointed Professor, Okayama UniversityVerified email at sys.okayama-u.ac.jp
Hamid D. TaghiradProfessor of Electrical Engineering, K. N. Toosi University of TechnologyVerified email at kntu.ac.ir
Hamid Abrishami MoghaddamProfessor of Biomedical Engineering, K.N. Toosi University of TechnologyVerified email at kntu.ac.ir
Farzaneh KeyvanfardPostdoctoral Scholar at IPMVerified email at aut.ac.ir
Somayyeh ChamaaniK. N. Toosi University of Tech.Verified email at eetd.kntu.ac.ir
S. M. Emad OliaeePhD Candidate, Control Dept., Electrical Faculty, K. N. Toosi universityVerified email at ee.kntu.ac.ir
Alireza FatehiIEEE Senior Member, Associate Professor, APAC Research Group, K.N. Toosi University of TechnologyVerified email at kntu.ac.ir
Vahid SeydiComputer ScienceVerified email at bangor.ac.uk

Mohammad Teshnehlab

Professor, Dept. of Control Engineering, K.N.Toosi University of Technology

Verified email at eetd.kntu.ac.ir - Homepage

Artificial Intelligence Intelligent Control Optimization Interval Soft Computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A novel binary particle swarm optimization MA Khanesar, M Teshnehlab, MA Shoorehdeli 2007 Mediterranean conference on control & automation, 1-6, 2007	440	2007
Using adaptive neuro-fuzzy inference system for hydrological time series prediction M Zounemat-Kermani, M Teshnehlab Applied soft computing 8 (2), 928-936, 2008	195	2008
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods MA Shoorehdeli, M Teshnehlab, AK Sedigh, MA Khanesar Applied Soft Computing 9 (2), 833-850, 2009	166	2009
Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation MA Khanesar, E Kayacan, M Teshnehlab, O Kaynak IEEE Transactions on Industrial Electronics 59 (11), 4443-4455, 2011	160	2011
Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation M Forouzanfar, N Forghani, M Teshnehlab Engineering Applications of Artificial Intelligence 23 (2), 160-168, 2010	155	2010
Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks R Rasti, M Teshnehlab, SL Phung Pattern Recognition 72, 381-390, 2017	136	2017
Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter MA Shoorehdeli, M Teshnehlab, AK Sedigh Fuzzy Sets and Systems 160 (7), 922-948, 2009	132	2009
Training ANFIS structure with modified PSO algorithm VS Ghomsheh, MA Shoorehdeli, M Teshnehlab 2007 Mediterranean Conference on Control & Automation, 1-6, 2007	132	2007
Best practices in E government: A review of some Innovative models proposed in different countries SM Alhomod, MM Shafi, MN Kousarrizi, F Seiti, M Teshnehlab, H Susanto, ... International Journal of Electrical & Computer Sciences 12 (1), 1-6, 2012	113	2012
Analysis of the noise reduction property of type-2 fuzzy logic systems using a novel type-2 membership function MA Khanesar, E Kayacan, M Teshnehlab, O Kaynak IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011	100	2011
An anomaly detection method to detect web attacks using stacked auto-encoder AM Vartouni, SS Kashi, M Teshnehlab 2018 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), 131-134, 2018	97	2018
Face recognition using convolutional neural network and simple logistic classifier H Khalajzadeh, M Mansouri, M Teshnehlab Soft computing in industrial applications, 197-207, 2014	96	2014
Discrete binary cat swarm optimization algorithm Y Sharafi, MA Khanesar, M Teshnehlab 2013 3rd IEEE international conference on computer, control and …, 2013	96	2013
Modified Multi-objective Particle Swarm Optimization for electromagnetic absorber design S Chamaani, SA Mirtaheri, M Teshnehlab, MA Shoorehdeli, V Seydi Progress In Electromagnetics Research (PIER) 79, 353–366, 2008	90	2008
Modified multi-objective particle swarm optimization for electromagnetic absorber design S Chamaani, SA Mirtaheri, M Teshnehlab, MA Shooredeli 2007 Asia-Pacific Conference on Applied Electromagnetics, 1-5, 2007	90	2007
Feature extraction and classification of EEG signals using wavelet transform, SVM and artificial neural networks for brain computer interfaces MRN Kousarrizi, ARA Ghanbari, M Teshnehlab, MA Shorehdeli, ... 2009 international joint conference on bioinformatics, systems biology and …, 2009	83	2009
Thyroid disease diagnosis based on genetic algorithms using PNN and SVM F Saiti, AA Naini, MA Shoorehdeli, M Teshnehlab 2009 3rd International Conference on Bioinformatics and Biomedical …, 2009	73	2009
Direct model reference Takagi–Sugeno fuzzy control of SISO nonlinear systems MA Khanesar, O Kaynak, M Teshnehlab IEEE Transactions on Fuzzy Systems 19 (5), 914-924, 2011	72	2011
Load frequency control in interconnected power system using modified dynamic neural networks K Sabahi, MA Nekoui, M Teshnehlab, M Aliyari, M Mansouri 2007 Mediterranean Conference on Control & Automation, 1-5, 2007	72	2007
Recurrent fuzzy neural network by using feedback error learning approaches for LFC in interconnected power system K Sabahi, M Teshnehlab Energy Conversion and Management 50 (4), 938-946, 2009	67	2009

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