Feature‐based type identification of file fragments MC Amirani, M Toorani, S Mihandoost Security and Communication Networks 6 (1), 115-128, 2013 | 51 | 2013 |
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 | 30 | 2011 |
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 | 19 | 2012 |
Cyclic spectral analysis of electrocardiogram signals based on GARCH model S Mihandoost, MC Amirani Biomedical Signal Processing and Control 31, 79-88, 2017 | 16 | 2017 |
EEG signal analysis using spectral correlation function & GARCH model S Mihandoost, MC Amirani Signal, Image and Video Processing 9, 1461-1472, 2015 | 13 | 2015 |
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 | 11 | 2011 |
Introducing an efficient statistical model for automatic modulation classification S Mihandoost, E Azimzadeh Journal of Signal Processing Systems 92 (1), 123-134, 2020 | 7 | 2020 |
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 | 5 | 2016 |
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 | 5 | 2011 |
Epileptic seizure detection using GARCH model on EEG signals S Mihandoust, MC Amirani 2011 1st International eConference on Computer and Knowledge Engineering …, 2011 | 4 | 2011 |
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 | 3 | 2022 |
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 | 3 | 2018 |
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 | 3 | 2011 |
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 | 2 | 2024 |
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 | 2 | 2018 |
Electrocardiogram recognition using spectral correlation function S Mihandoost, MC Amirani 2016 24th Iranian Conference on Electrical Engineering (ICEE), 277-282, 2016 | 2 | 2016 |
Machine learning assisted exploration of the influential parameters on the PLGA nanoparticles S Rezvantalab, S Mihandoost, M Rezaiee Scientific Reports 14 (1), 1114, 2024 | 1 | 2024 |
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), 120-126, 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 |