Developing a deep neural network for driver fatigue detection using EEG signals based on compressed sensing
In recent years, driver fatigue has become one of the main causes of road accidents. As a
result, fatigue detection systems have been developed to warn drivers, and, among the …
result, fatigue detection systems have been developed to warn drivers, and, among the …
Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals
F Baradaran, A Farzan, S Danishvar, S Sheykhivand - Electronics, 2023 - mdpi.com
Automatic emotion recognition from electroencephalogram (EEG) signals can be considered
as the main component of brain–computer interface (BCI) systems. In the previous years …
as the main component of brain–computer interface (BCI) systems. In the previous years …
[HTML][HTML] Automated Brain Tumor Segmentation on Multi-MR Sequences to Determine the Most Efficient Sequence using a Deep Learning Method
Brain tumor segmentation is an important step in the diagnosis and treatment planning of
cancer patients. The procedure of manual brain tumor segmentation suffers from a long …
cancer patients. The procedure of manual brain tumor segmentation suffers from a long …
Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks
F Baradaran, A Farzan, S Danishvar, S Sheykhivand - Electronics, 2023 - mdpi.com
Emotions are an inextricably linked component of human life. Automatic emotion recognition
can be widely used in brain–computer interfaces. This study presents a new model for …
can be widely used in brain–computer interfaces. This study presents a new model for …
A new EEG-based schizophrenia diagnosis method through a fuzzy DL model
X Yang - Multiscale and Multidisciplinary Modeling, Experiments …, 2025 - Springer
Schizophrenia disrupts behavioral and cognitive manifestations such as thinking,
perception, and speech. Early diagnosis is crucial in treating and limiting the effects of the …
perception, and speech. Early diagnosis is crucial in treating and limiting the effects of the …
Variational Generative Adversarial Networks for Preventing Mode Collapse
M Jamaseb Khollari, V Derhami… - … Intelligence in Electrical …, 2022 - isee.ui.ac.ir
Generative models try to obtain a probability distribution that is similar to that of observed
data. Two different solutions have been proposed in this regard in recent years: one is to …
data. Two different solutions have been proposed in this regard in recent years: one is to …
[HTML][HTML] Style Transfer for Data Augmentation in Convolutional Neural Networks Applied to Fire Detection
M Amintoosi - Computational Intelligence in Electrical Engineering, 2022 - isee.ui.ac.ir
Adequate training data is essential in all supervised learning methods, including deep
learning and machine vision. One of the approaches used to increase the number of training …
learning and machine vision. One of the approaches used to increase the number of training …
[PDF][PDF] Fully Connected to Fully Convolutional: Road to Yesterday
M Amintoosi - Journal of Soft Computing and Information Technology, 2022 - sid.ir
In the last decade, several convolutional networks have been developed for the semantic
segmentation, which have shown excellent performance in recognizing and labeling objects …
segmentation, which have shown excellent performance in recognizing and labeling objects …
تمام متصل به تمام پیچشی: پلی به گذشته
امین طوسی, محمود - مجله علمی رایانش نرم و فناوری اطلاعات, 2022 - jscit.nit.ac.ir
در یک دههی گذشته شبکههای پیچشی متعددی برای قطعهبندی معنایی تصاویر ابداع شدهاند که
عملکرد بسیار خوبی در تشخیص و برچسبزنی اشیاء از خود نشان دادهاند. عمدهی این شبکهها متضمن …
عملکرد بسیار خوبی در تشخیص و برچسبزنی اشیاء از خود نشان دادهاند. عمدهی این شبکهها متضمن …
TLBO-Based Optimal Speed Controller Design for Induction Motors Using Fuzzy Sliding Mode Controller
A Alfi - مجله علمی رایانش نرم و فناوری اطلاعات, 2017 - jscit.nit.ac.ir
Mobile Ad Hoc Network (MANET) is a special and attractive type of new wireless networks. It
is an autonomous system that can dynamically be set up anywhere and anytime without …
is an autonomous system that can dynamically be set up anywhere and anytime without …