User profiles for Saeid Rashidi
 | saeid rashidiScience and Research Branch, Islamic Azad University Verified email at srbiau.ac.ir Cited by 644 |
[HTML][HTML] Feature extraction based DCT on dynamic signature verification
Signature verification is one of the most accepted biometric techniques, because a signature
is a part of everyday life, although less accurate than biometric techniques such as using …
is a part of everyday life, although less accurate than biometric techniques such as using …
Melanoma skin cancer detection using color and new texture features
FK Nezhadian, S Rashidi - 2017 Artificial intelligence and …, 2017 - ieeexplore.ieee.org
Melanoma is the most prevalent skin cancer and sometimes it is very difficult to diagnose.
Noninvasive dermatoscopy is used to diagnose type of cancer. Since proposed method is …
Noninvasive dermatoscopy is used to diagnose type of cancer. Since proposed method is …
Finger movements classification based on fractional fourier transform coefficients extracted from surface emg signals
EMG signals have played a pivotal role as a fundamental component of myriad modern
prostheses to control prostheses’ movements as well as identifying individual and combined …
prostheses to control prostheses’ movements as well as identifying individual and combined …
Application of fractional Fourier transform in feature extraction from ELECTROCARDIOGRAM and GALVANIC SKIN RESPONSE for emotion recognition
F Panahi, S Rashidi, A Sheikhani - Biomedical Signal Processing and …, 2021 - Elsevier
Emotion recognition from physiological signals plays an essential role in human–computer
interaction and affective computing. This paper aims to study the effectiveness of Fractional …
interaction and affective computing. This paper aims to study the effectiveness of Fractional …
Improved EEG based human authentication system on large dataset
The genetic traits in the Electroencephalogram (EEG), has made it a possible characteristic
for the continuous biometric human verification. It is important for a biometric characteristic to …
for the continuous biometric human verification. It is important for a biometric characteristic to …
Machine learning distinguishes neurosurgical skill levels in a virtual reality tumor resection task
S Siyar, H Azarnoush, S Rashidi… - Medical & biological …, 2020 - Springer
This study outlines the first investigation of application of machine learning to distinguish “skilled”
and “novice” psychomotor performance during a virtual reality (VR) brain tumor …
and “novice” psychomotor performance during a virtual reality (VR) brain tumor …
Tremor assessment during virtual reality brain tumor resection
S Siyar, H Azarnoush, S Rashidi… - Journal of Surgical …, 2020 - Elsevier
Objective Assessment of physiological tremor during neurosurgical procedures may provide
further insights into the composites of surgical expertise. Virtual reality platforms may …
further insights into the composites of surgical expertise. Virtual reality platforms may …
Classification and evaluation of the severity of tricuspid regurgitation using phonocardiogram
Cardiovascular disorders (CVDs) have attracted a great deal of attention given that they are
one of the most common causes of mortality every year. With early diagnoses, CVDs can be …
one of the most common causes of mortality every year. With early diagnoses, CVDs can be …
Authentication based on pole-zero models of signature velocity
With the increase of communication and financial transaction through internet, on-line
signature verification is an accepted biometric technology for access control and plays a …
signature verification is an accepted biometric technology for access control and plays a …
An improved saliency model of visual attention dependent on image content
Many visual attention models have been presented to obtain the saliency of a scene, ie, the
visually significant parts of a scene. However, some mechanisms are still not taken into …
visually significant parts of a scene. However, some mechanisms are still not taken into …