Removing High Density Impulse Noise Via a Novel Two Phase Method Using Fuzzy Cellular Automata

Mohammad Mehdi Piroozmandan; Fardad Farokhi; Kaveh Kangarloo

Volume 10, Issue 04 , November 2021, , Pages 177-186

http://dx.doi.org/10.30495/ijsee.2021.684018

Abstract
  In this paper, a novel method named RHDINTPM (Removing High Density Impulse Noise via a Novel Two Phase Method) is proposed for de-noising digital images corrupted by impulse noise. The proposed method is based on cellular automata (CA) and fuzzy cellular automata (FCA). In this method, a given image ...  Read More

Improvement of Working Memory Performance by Parietal Upper Alpha Neurofeedback Training

Peyman Dehghanpour; Fardad Farokhi; Reza Rostami

Volume 07, Issue 02 , June 2018, , Pages 77-81

Abstract
  Working memory (WM) is a part of human memory, the ability to maintain and manipulate information. WM performance is impaired in some neurological and psychiatric disorders such as schizophrenia and ADHD. Neurofeedback training is a self-regulation method which can be used to improve WM performance by ...  Read More

Integrated Fuzzy Control of Temperature, Light and Emergency Conditions for Smart Home Application

Armaghan Rahimi; fardad farokhi; Shahram Javadi

Volume 05, Issue 02 , June 2016, , Pages 93-99

Abstract
  Smart home is composed of several controllers with different plants in control. If each controller works independently, without considering the mutual effect of the others in the control process, the whole system could definitely not converge to an optimum desired status and may not ever reach the demanded ...  Read More

Improvement of Coverage Algorithm in WSN in Terms of Sensor Numbers and Power Amount

Iman Khandani; Reza Sabbaghi-Nadooshan; Fardad Farokhi

Volume 05, Issue 01 , February 2016, , Pages 49-52

Abstract
  Wireless sensor networks(WSN) have unique properties that distinguished them from other wireless networks and have special challenges. Not-chargeable, not-changeable and limited power supplies of sensor nodes is the most important challenge of this networks, and if the power supply of node expired, a ...  Read More

Neural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features

Fardad Farrokhi; Mehdi Heydarian; Kaveh Kangarloo

Volume 03, Issue 02 , April 2014, , Pages 61-72

Abstract
  This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional ...  Read More

Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application

Hamid Malmir; Fardad Farokhi; Reza Sabbaghi-Nadooshan

Volume 03, Issue 01 , February 2014, , Pages 47-53

Abstract
  With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using ...  Read More

Efficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks

Roya Abdollahzadeh Badelbo; Fardad Farokhi; Alireza Kashaniniya

Volume 02, Issue 4 , November 2013, , Pages 217-222

Abstract
  In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, ...  Read More

Intrusion Detection in Wireless Sensor Networks using Genetic Algorithm

Elham Yazdankhah; Fardad Farokhi; Reza Sabbaghi-Nadooshan

Volume 02, Issue 3 , August 2013, , Pages 173-180

Abstract
  Wireless sensor networks, due to the characteristics of sensors such as wireless communication channels, the lack of infrastructure and targeted threats, are very vulnerable to the various attacks. Routing attacks on the networks, where a malicious node from sending data to the base station is perceived. ...  Read More

Image Stitching of the Computed Radiology images Using a Pixel-Based Approach

Mahan Sedehzadeh; Farokhi Fardad

Volume 02, Issue 2 , May 2013, , Pages 77-85

Abstract
  In this paper, a method for automatic stitching of radiology images based on pixel features has been presented. In this method, according to the smooth texture of radiological images and in order to increase the number of the extracted features after quality enhancement of initial radiology images, 45 ...  Read More

Decreasing Starting Current for Separate Excited DC Motor using ANFIS Controller

Saber Ghadri; Shahram Javadi; Fardad Farokhi

Volume 02, Issue 2 , May 2013, , Pages 91-94

Abstract
  Today, DC motors is still being used globally due to their easy speed controllability. In this article, an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is designed for DC motors. The main purpose of performing such task is to reduce the DC motor starting current and deleting the ripple current ...  Read More

Effective Feature Selection for Pre-Cancerous Cervix Lesions Using Artificial Neural Networks

Farnaz Rouhbakhsh; Fardad Farokhi; Kaveh Kangarloo

Volume 01, Issue 03 , September 2012, , Pages 199-204

Abstract
  Since most common form of cervical cancer starts with pre-cancerous changes, a flawless detection of these changes becomes an important issue to prevent and treat the cervix cancer. There are 2 ways to stop this disease from developing. One way is to find and treat pre-cancers before they become true ...  Read More