A5026100921- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Brain Tumor Detection and Classification
- ECG Monitoring and Analysis
- Autism Spectrum Disorder Research
- Currency Recognition and Detection
- COVID-19 diagnosis using AI
- Fuzzy Logic and Control Systems
- Radiomics and Machine Learning in Medical Imaging
- Fuzzy Systems and Optimization
- Cardiac Imaging and Diagnostics
- Epilepsy research and treatment
- AI in cancer detection
- Neural Networks Stability and Synchronization
- Blind Source Separation Techniques
- Multiple Sclerosis Research Studies
- Neurological disorders and treatments
- Multi-Criteria Decision Making
- Advanced X-ray and CT Imaging
- Neural Networks and Applications
- Nonlinear Dynamics and Pattern Formation
- Obstructive Sleep Apnea Research
- Chaos control and synchronization
- Genetics and Neurodevelopmental Disorders
- Attention Deficit Hyperactivity Disorder
Universidad de Granada
2020-2024
Islamic Azad University, Science and Research Branch
2021-2022
University of Southern Queensland
2020
Ferdowsi University of Mashhad
2020
Iran University of Medical Sciences
2020
Deakin University
2020
University of Cambridge
2020
K.N.Toosi University of Technology
2020
University of Gonabad
2020
Islamic Azad University, Tehran
2020
Schizophrenia (SZ) is a mental disorder whereby due to the secretion of specific chemicals in brain, function some brain regions out balance, leading lack coordination between thoughts, actions, and emotions. This study provides various intelligent deep learning (DL)-based methods for automated SZ diagnosis via electroencephalography (EEG) signals. The obtained results are compared with those conventional methods. To implement proposed methods, dataset Institute Psychiatry Neurology Warsaw,...
Abstract Apnea is a sleep disorder that stops or reduces airflow for short time during sleep. Sleep apnea may last few seconds and happen many while sleeping. This reduction in breathing associated with loud snoring, which awaken the person feeling of suffocation. So far, variety methods have been introduced by researchers to diagnose apnea, among polysomnography (PSG) method known be best. Analysis PSG signals very complicated. Many studies conducted on automatic diagnosis from biological...
In this paper, the multi-state synchronization of chaotic systems with non-identical, unknown, and time-varying delay in presence external perturbations parametric uncertainties was studied. The unknown delays, bounds disturbance uncertainty, as well changes system parameters complicate determination control function synchronization. During a scheme using robust-adaptive procedure help Lyapunov stability theorem, errors converged to zero, updating rules were set estimate delays. To...
Many studies have been performed to handle the uncertainties in data using type-1 fuzzy regression (FR). Few type-2 (T2F) used interval (IT2) for indeterminate modeling membership. The current article proposes a triangular T2F (TT2FR) model ameliorate efficiency of by handling uncertainty data. secondary membership function is instead widely interval-type models. In proposed model, vagueness primary and sets minimized, also, specified <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...