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Sara Mihandoost
Sara Mihandoost
Assistant professor
Verified email at uut.ac.ir
Title
Cited by
Cited by
Year
Feature‐based type identification of file fragments
MC Amirani, M Toorani, S Mihandoost
Security and Communication Networks 6 (1), 115-128, 2013
512013
Recognition of different datasets using PCA, LDA, and various classifiers
N Panahi, MG Shayesteh, S Mihandoost, BZ Varghahan
2011 5th International Conference on Application of Information and …, 2011
302011
Automatic feature extraction using generalised autoregressive conditional heteroscedasticity model: an application to electroencephalogram classification
S Mihandoost, M Amirani, M Mazlaghani, A Mihandoost
IET Signal Processing 6 (9), 829-838, 2012
192012
Cyclic spectral analysis of electrocardiogram signals based on GARCH model
S Mihandoost, MC Amirani
Biomedical Signal Processing and Control 31, 79-88, 2017
152017
EEG signal analysis using spectral correlation function & GARCH model
S Mihandoost, MC Amirani
Signal, Image and Video Processing 9, 1461-1472, 2015
132015
Seizure detection using wavelet transform and a new statistical feature
S Mihandoost, MC Amirani, BZ Varghahan
2011 5th International Conference on Application of Information and …, 2011
112011
Introducing an efficient statistical model for automatic modulation classification
S Mihandoost, E Azimzadeh
Journal of Signal Processing Systems 92 (1), 123-134, 2020
72020
Automatic modulation classification using combination of wavelet transform and GARCH model
S Mihandoost, MC Amirani
2016 8th International Symposium on Telecommunications (IST), 484-488, 2016
52016
A new approach for feature extraction of EEG signal using GARCH variance series
S Mihandoost, MC Amirani, BZ Varghahan
2011 5th International Conference on Application of Information and …, 2011
52011
Epileptic seizure detection using GARCH model on EEG signals
S Mihandoust, MC Amirani
2011 1st International eConference on Computer and Knowledge Engineering …, 2011
42011
A comparative study of the performance of methods for f-wave extraction
S Mihandoost, L Sörnmo, M Doyen, J Oster
Physiological Measurement 43 (10), 105006, 2022
32022
Two-dimensional strip spectral correlation algorithm to fast estimation of 2D-cyclic spectral function for texture analysis
S Mihandoost, M Chehel Amirani
Multidimensional Systems and Signal Processing 29, 1119-1134, 2018
32018
Enhancement and cleaning of handwritten data by using neural networks and threshold technical
BZ Varghahan, MC Amirani, S Mihandoost
2011 5th International Conference on Application of Information and …, 2011
32011
Effective machine learning pull-in instability estimation of an electrostatically nano actuator under the influences of intermolecular forces
H Mobki, S Mihandoost, M Aliasghary, HM Ouakad
International Journal of Information Technology 16 (1), 237-243, 2024
22024
Diagnosis of Epilepsy Utilizing Time-Series Distribution of EEG Signals
N Khiabanmanesh, A Amini, S Mihandoost
2018 25th International Conference" Mixed Design of Integrated Circuits and …, 2018
22018
Electrocardiogram recognition using spectral correlation function
S Mihandoost, MC Amirani
2016 24th Iranian Conference on Electrical Engineering (ICEE), 277-282, 2016
22016
Machine learning assisted exploration of the influential parameters on the PLGA nanoparticles
S Rezvantalab, S Mihandoost, M Rezaiee
Scientific Reports 14 (1), 1114, 2024
12024
Murmur identification and outcome prediction in phonocardiograms using deep features based on Stockwell transform
OD Manshadi, S Mihandoost
Scientific Reports 14 (1), 7592, 2024
2024
Improving the Diagnosis of Sudden Cardiac Death by Using Non-Linear Features of the ECG Signal and Hybrid RBF.
A Koliji, S MihanDoost, N Ezzati, E Mostafapour
Journal of Applied Research in Electrical Engineering 2 (2), 2023
2023
Application of Machine Learning Method for Calculating the Instability Voltage of Nano-Beam Actuator in the Presence of Electrostatic Force and Considering vdW and Casimir Forces
H Mobki, S Mihandoost, M Aliasghary, HM Ouakad
2023
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