A5073514998- Face and Expression Recognition
- Chaos control and synchronization
- Neural Networks and Applications
- Advanced Control Systems Design
- Advanced Control Systems Optimization
- Nonlinear Dynamics and Pattern Formation
- Medical Image Segmentation Techniques
- Fractional Differential Equations Solutions
- Quantum chaos and dynamical systems
- Image Retrieval and Classification Techniques
- Adaptive Control of Nonlinear Systems
- Fuel Cells and Related Materials
- Face recognition and analysis
- Imbalanced Data Classification Techniques
- Fault Detection and Control Systems
- Robotic Path Planning Algorithms
- Image and Signal Denoising Methods
- Silicon and Solar Cell Technologies
- Image and Object Detection Techniques
- Stability and Control of Uncertain Systems
- Fuzzy Logic and Control Systems
- Neural Networks Stability and Synchronization
- Advanced Image and Video Retrieval Techniques
- Industrial Vision Systems and Defect Detection
- Machine Learning and Data Classification
Iran University of Medical Sciences
2023-2025
Shahid Beheshti University
2016-2025
Shomal University
2024
Institute for Cognitive Science Studies
2019-2023
University of Birjand
2019
Birjand University of Medical Sciences
2005-2018
University of Tehran
2017
Babol Noshirvani University of Technology
2008-2016
University of Cagliari
2014
Golestan University
2014
To investigate the effect of image preprocessing, in respect to intensity inhomogeneity correction and noise filtering, on robustness reproducibility radiomics features extracted from Glioblastoma (GBM) tumor multimodal MR images (mMRI). In this study, for each patient 1461 were GBM subregions (i.e., edema, necrosis, enhancement, tumor) mMRI FLAIR, T1, T1C, T2) volumes five preprocessing combinations (in total 116 880 features). The assessed under four comparisons: (a) Baseline versus...
Fractional calculus started to play an important role for analysis of the evolution nonlinear dynamical systems which are in various branches science and engineering. In this line taught paper we studied stability fractional order time‐delay Caputo′s derivative, proved two theorems Mittag‐Leffler time delay systems. Erratum “Mittag-Leffler Stability Theorem Nonlinear Systems with Delay” dx.doi.org/10.1155/2011/304352
Abstract This article introduces an innovative approach that utilizes machine learning (ML) to address the computational challenges of accurate atomistic simulations in materials science. Focusing on field molecular dynamics (MD), which offers insight into material behavior at atomic level, study demonstrates potential trained artificial neural networks (tANNs) as surrogate models. These tANNs capture complex patterns from built datasets, enabling fast and predictions properties. The...
The critical aspect of successful brachytherapy (BT) is accurate detection applicator/needle trajectories, which an ongoing challenge. This study proposes a two-phase deep learning-based method to automate localization high-dose-rate (HDR) prostate BT catheters through the patient's CT images. whole process divided into two phases using different neural networks. First, needles segmentation was accomplished pix2pix Generative Adversarial Neural network (pix2pix GAN). Second, Generic Object...
Fractional calculus techniques and methods started to be applied successfully during the last decades in several fields of science engineering. In this paper we studied stability fractional‐order nonlinear time‐delay systems for Riemann‐Liouville Caputo derivatives extended Razumikhin theorem fractional systems.
A Fractional adaptive PID (FPID) controller for a robot manipulator will be proposed. The parameters have been optimized by Genetic algorithm. proposed is found robust means of simulation in tracking job. validity the shown two-link manipulator. result then compared with integer type controller. It that when error signals learning stage are bounded, trajectory converges to desired one asymptotically.
Background. Acne vulgaris is a common skin disease that can adversely affect the quality of life patients. Objective. The aim this study was to determine in patients with acne vulgaris. Methods. This carried out on 70 (28 males, 42 females). All filled two Persian versions questionnaires: short form 36 (SF-36) and Dermatology Life Quality Index (DLQI). obtained data were analyzed by using SPSS software (version 17). Results. scores for physical functioning, social bodily pain domains over...
The error correcting output coding (ECOC) approach to classifier design decomposes a multi-class problem into set of complementary two-class problems. We show how apply the ECOC concept automatic face verification, which is inherently problem. binary classifiers defines feature space, in it easier separate transformed patterns representing clients and impostors. propose two different combining strategies as matching score for verification. first uses order Minkowski metric, requires...
Unfit drivers are the cause of tens thousands incidents on roads which lead to injuries and deaths. Therefore, it is very important take preventive measures against such incidents. One unfit driving conditions while being drowsy. Using image processing techniques, drowsiness driver could be detected hence prevented. In this work, inspired by how images processed human visual system, an enhancement for driver's detection suggested. Furthermore, improve robustness mechanism using energy levels...