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Sadegh Aminifar
Sadegh Aminifar
Computer Department, Faculty of Science, Soran University
Verified email at soran.edu.iq
Title
Cited by
Cited by
Year
Uncertainty in interval type-2 fuzzy systems
S Aminifar, A Marzuki
Mathematical Problems in Engineering 2013, 2013
412013
A digital CMOS fuzzy logic controller chip using new fuzzifier and max circuit
S Aminifar, A Khoei, K Haidi, G Yosefi
AEU-International Journal of Electronics and Communications 60 (8), 557-566, 2006
412006
Design of a mixed-signal digital CMOS fuzzy logic controller (FLC) chip using new current mode circuits
G Yosefi, S Aminifar, S Neda, MA Daneshwar
AEU-International Journal of Electronics and Communications 65 (3), 173-181, 2011
262011
Study of fuzzy systems with Sugeno and Mamdanitype fuzzy inference systems for determination of heartbeat cases on Electrocardiogram (ECG) signals
A Marzuki, SY Tee, S Aminifar
International Journal of Biomedical Engineering and Technology 14 (3), 243-276, 2014
242014
Fast and Accurate Artificial Neural Network Model for Diabetes Recogni-tion
R Jader, S Aminifar
NeuroQuantology 20 (10), 2187-2196, 2022
202022
Predictive model for diagnosis of gestational diabetes in the kurdistan region by a combination of clustering and classification algorithms: an ensemble approach
R Jader, S Aminifar
Applied Computational Intelligence and Soft Computing 2022, 2022
172022
Horizontal and vertical rule bases method in fuzzy controllers
S Aminifar, A bin Marzuki
Mathematical Problems in Engineering 2013, 2013
172013
Uncertainty avoider interval type II defuzzification method
S Aminifar
Mathematical Problems in Engineering 2020, 2020
162020
An interval type-2 FCM for color image segmentation
A Hamad, S Aminifar, M Daneshwar
International Journal of Advanced Computer Research 10 (46), 12-17, 2020
142020
Design and implementation of fuzzy controllers for handling uncertainty in an industrial application
S Aminifar
Universiti Sains Malaysia, 2014
112014
Voltage-mode fuzzy logic controller
S Aminifar, AB Marzuki
Indian Journal of Science and Technology, 3630-3633, 2012
102012
Application of adaptive neuro fuzzy inference system (ANFIS) in implementing of new CMOS fuzzy logic controller (FLC) chip
S Aminifar, G Yosefi
AIP Conference Proceedings 936 (1), 49-53, 2007
72007
Hardware implementation of an adaptive mixed signal neuro fuzzy system using high speed and low power analog CMOS circuits
M Daneshwar, S Aminifar, G Yosefi
Journal of Basic and Applied Scientific Research 1 (10), 1415-1422, 2011
62011
Diabetes detection system by mixing supervised and unsupervised algorithms
RF Jader, S Aminifar, MHM Abd
Journal of Studies in Science and Engineering 2 (3), 52-65, 2022
52022
A novel fuzzy controller applicable to steaming room
S Aminifar, A bin Marzuki
2012 IEEE International Conference on Control System, Computing and …, 2012
42012
Implementing of neuro-fuzzy system with high-speed, low-power CMOS circuits in current-mode
S Afrang, M Daneshwar, S Aminifar, G Yosefi
Proceedings of the 9th WSEAS international conference on Microelectronics …, 2010
42010
Implementation of a CMOS mixed-signal digital FLC chip using new fuzzifier and current mode A/D
G Yosefi, S Aminifar
2007 6th International Conference on Information, Communications & Signal …, 2007
42007
Intelligent Digital Signal Modulation Recognition using Machine Learning
MHM Abd, S Aminifar
Journal of Computer Science 18 (10), 2022
32022
Lookup table driven uncertainty avoider based interval type-2 Fuzzy system design
SM KekShar, SA Aminifar
IEEE-SEM 8 (4), 2020
32020
An Intelligent Gestational Diabetes Mellitus Recognition System Using Machine Learning Algorithms
R Jader, S Aminifar
Tikrit Journal of Pure Science 28 (1), 82-88, 2023
22023
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