Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Full Research Paper
Analysis of Brain Connectivity for Epileptic Seizure Prediction using EEG Signals

Saeed Ghodsi; Hoda Mohammadzade; Hamid Aghajan

Volume 13, Issue 3 , October 2019, Pages 189-207

  Different perceptual, cognitive and emotional situations results in a kind of information flow in the brain by means of coordinated neuronal oscillations. Analysing these oscillations, especially synchronizations of different brain regions, can illustrate the brains response in the aforementioned situations. ...  Read More

Full Research Paper
Automatic Stage Scoring of Single-Channel Sleep EEG using Discrete Wavelet Transform and a Hybrid Model of Ant Colony Optimizer and Neural Network based on RUSBoost Classifier

Sobhan Sheykhivand; Sehraneh Ghaemi

Volume 13, Issue 3 , October 2019, Pages 209-222

  The automatic classification of sleep stages is essential for the timely detection of disorders and sleep-related studies. In this paper, a single-channel EEG-based algorithm is used to automatically identify sleep stages using discrete wavelet transform and a hybrid model of ant colony optimizer and ...  Read More

Full Research Paper
Feature Selection Method based on Subspace Learning and Factorization of Basis Matrix for DNA Micro-Array Datasetsfor DNA Micro-Array Datasets

Mahla Dehtaghi Zadeh; Farid Saberi-Movahed; Mahdi Eftekhari

Volume 13, Issue 3 , October 2019, Pages 223-234

  DNA micro-array datasets play crucial role in machine learning and recognition of various kinds of cancer structures. Micro-array datasets are typically characterized by the high number of features and the small number of samples. Such problems may result in overfitting and low prediction accuracy of ...  Read More

Full Research Paper
A New Method for Automatic Diagnosis of Age-Related Macular Degeneration using Optical Coherence Tomography Images

Amir Babaoghli; Hadi Soltanizadeh

Volume 13, Issue 3 , October 2019, Pages 235-246

  Diseases associated with the retina and macula of the eye, causing permanent loss of vision or a great deal of loss of vision in people, leads to a decrease in the quality of life and a lot of problems in daily life. For this reason, the timely and correct identification of these diseases and disorders ...  Read More

Full Research Paper
Planar Reaching Movement Generation using Submovement Prediction Model

Seyedeh Somayeh Naghibi; Ali Fallah; Ali Maleki; Farnaz Ghassemi

Volume 13, Issue 3 , October 2019, Pages 247-257

  The correct prediction of the optimal motor trajectory is necessary for movement rehabilitation and control systems such as functional electrical stimulation and robotic therapy. It seems that human reaching movements are composed of a set of submovements, each of which is a correction of the overall ...  Read More

Full Research Paper
Automated Thigh Muscles Segmentation using Hierarchical Multi-Atlas and FRFCM Methods in CT Scan Images

Malihe Molaie; Reza Aghaeizadeh Zoroofi

Volume 13, Issue 3 , October 2019, Pages 259-271

  Quantifying and modeling of the skeletal muscles can lead to an easier investigation of muscle diseases, specific mobility problems, and required simulations for the relevant surgeries. To this end, medical images should be segmented, firstly. In this research, thigh muscles segmentation is performed ...  Read More

Full Research Paper
Epilepsy Control in a Combination of the Cortical and Optogenetic Models using Fixed Time Integral Super Twisting Sliding Mode Controller

Samira Rezvani Ardakani; Sajad Mohammad-Ali-Nezhad; Reza Ghasemi

Volume 13, Issue 3 , October 2019, Pages 273-289

  Epilepsy is one of the most important neurological disorders in the world. In order to suppress epileptic seizures, various control algorithms have been used. Time to control and reduce attacks and robustness of the controller against variations of pathologic parameters and unwanted oscillations are ...  Read More