CV


FA
Hussain Montazery Kordy

Hussain Montazery Kordy

Assistant Professor

College: Electrical & Computer Engineering

Department: Bioelectric Engineering

CV
FA
Hussain Montazery Kordy

Assistant Professor Hussain Montazery Kordy

College: Electrical & Computer Engineering - Department: Bioelectric Engineering

Articles

#Paper TitleAuthorsPublication/ConferenceDateType
 
1Refractory Poisson: The Effect of the Refractory Period on Neural Rate CodingMohammad Nasiraee, Hussain Montazery Kordy, Seyed-Javad KazemitabarIEEE TRANSACTIONS ON COMMUNICATIONS2025Article In Publication
2Human Gesture Recognition Using Multifractal Detrended Fluctuation Analysis and Surface ElectromyographyAbolfazl Hajihashme, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy, F. ShahbaziInternational Journal of Engineering2025Article In Publication
3Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data AnalysisZahra Rabiei, Hussain Montazery KordyNEUROINFORMATICS2025Article In Publication
4Utilizing Normalized Mutual Information as a Similarity Measure for EEG and fMRI FusionZahra Rabiei, Hussain Montazery KordyJournal of Electrical and Computer Engineering Innovations (JECEI)2025Article In Publication
5A review of critical challenges in MI-BCI: From conventional to deep learning methodsZahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery KordyJOURNAL OF NEUROSCIENCE METHODS2023Article In Publication
6A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signalsZahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery KordyCOMPUTERS IN BIOLOGY AND MEDICINE2022Article In Publication
7Capacity per Unit Cost-Achieving Input Distribution of Rated-Inverse Gaussian Biological NeuronMohammad Nasiraee, Hussain Montazery Kordy, Seyed-Javad KazemitabarIEEE TRANSACTIONS ON COMMUNICATIONS2022Article In Publication
8Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for themSajad Khodabandelu, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy, Masoumeh GolsorkhtabaramiriBMC Medical Informatics and Decision Making2022Article In Publication
9A hierarchical structure based on Stacking approach for skin lesion classificationGhasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi KhalesariEXPERT SYSTEMS WITH APPLICATIONS2020Article In Publication
10Sleep stages classification based on time-frequency features of EEG signalAmin mahdi Shahzamanian sichani, Hussain Montazery Kordy3rd International Conference on Biomedical Engineering and Health Systems2016Article In Conference
11Simulation of Coloured Human Eye Vision on the basis of Aberrations EffectsTaher Bodaghi, Hussain Montazery Kordy, Mohammad-Reza Karami-Mollaei21 st Iranian Conference on Electrical Engineering2013Article In Conference
12Facial Expression Recognition using DCT Features and Neural Network Based Decision TreeSina Mohseni, Hussain Montazery Kordy, Ramin Ahmadi55th International Symposium ELMAR2013Article In Conference
13Automatic Sleep Stages Detection Based on EEG Signals UsingReza Kianzad, Hussain Montazery KordyJournal of Electrical and Computer Engineering Innovations (JECEI)2013Article In Publication
14A Hybrid Feature Subset Selection Algorithm for Analysis of High Correlation Proteomic DataHussain Montazery Kordy, Mohammad Hossein Miran Baygi, Mohammad Hassan MoradiJournal of Medical Signal and Sensors2012Article In Publication
15A Hybrid Wavelet Based Feature Extraction Approach to Analysis of High Dimensional Proteomic PatternsHussain Montazery Kordy2011 International Conference on Electrical and Control Engineering2011Article In Conference
16A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transformHussain Montazery Kordy, Mohammad Hossein Miran-Baygi, Mohammad Hassan MoradiJournal of Zhejiang University-SCIENCE B2008Article In Publication
Showing 1-16 of 16 items.