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Aysa Jafarifarmand
Aysa Jafarifarmand
Other namesAysa Jafari Farmand, AJ Farmand
Assistant Professor, Istanbul Bilgi University
Verified email at bilgi.edu.tr
Title
Cited by
Cited by
Year
Artifacts removal in EEG signal using a new neural network enhanced adaptive filter
A Jafarifarmand, MA Badamchizadeh
Neurocomputing 103, 222-231, 2013
1312013
A new self-regulated neuro-fuzzy framework for classification of EEG signals in motor imagery BCI
A Jafarifarmand, MA Badamchizadeh, S Khanmohammadi, MA Nazari, ...
IEEE transactions on fuzzy systems 26 (3), 1485-1497, 2017
862017
EEG artifacts handling in a real practical brain–computer interface controlled vehicle
A Jafarifarmand, MA Badamchizadeh
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (6 …, 2019
662019
Real-time ocular artifacts removal of EEG data using a hybrid ICA-ANC approach
A Jafarifarmand, MA Badamchizadeh, S Khanmohammadi, MA Nazari, ...
Biomedical signal Processing and control 31, 199-210, 2017
572017
Real-time multiclass motor imagery brain-computer interface by modified common spatial patterns and adaptive neuro-fuzzy classifier
A Jafarifarmand, MA Badamchizadeh
Biomedical Signal Processing and Control 57, 101749, 2020
352020
Prediction of motor imagery performance based on pre-trial spatio-spectral alertness features
M Torkamani-Azar, A Jafarifarmand, M Cetin
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
72020
Microwave medical diagnosis system with a framework to optimize the antenna configuration and frequency of operation using neural networks
A Jafarifarmand, T Yilmaz, I Akduman
IEEE Transactions on Microwave Theory and Techniques 70 (11), 5095-5104, 2022
62022
Real-time cardiac artifact removal from EEG using a hybrid approach
A Jafarifarmand, MA Badamchizadeh
2018 International Conference BIOMDLORE, 1-5, 2018
62018
Evaluation criteria of biological artifacts removal rate from EEG signals
A Jafarifarmand, MA Badamchizadeh, H Seyedarabi
2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), 123-128, 2014
52014
Leveraging Classical Methods for Accurate Epilepsy Detection with EEG Signals
MC Karataş, Sİ Sargın, AJ Farmand
2025 33rd Signal Processing and Communications Applications Conference (SIU …, 2025
22025
EEG Band Power Feature Based Electrode Combination Analysis for Epilepsy Detection
Sİ Sargın, A Jafarifarmand
2025 12th International Conference on Electrical and Electronics Engineering …, 2025
2025
A Comparative Study of Classical Spectral and Spatial Feature Extraction Methods for Fatigue Detection via EEG Signals
AM Zahid, YG Subaşı, A Jafarifarmand
2025 9th International Symposium on Innovative Approaches in Smart …, 2025
2025
Tree-Based Classification for Epilepsy Using Prioritized Electrode Combinations
SI Sargın, MC Karatas, A Jafarifarmand
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Articles 1–13