Artificial Neural Network-Based Transmission Power Control for Underwater Wireless Optical Communication System
Artificial Neural Network-Based Transmission Power Control for Underwater Wireless Optical Communication System

Omar N. Mohammed Salim; Salah A. Adnan; Ammar H. Mutlag

Volume 41, Issue 2 , February 2023, , Page 456-466

https://doi.org/10.30684/etj.2022.136247.1309

Abstract
  Several scientists have proposed using an underwater wireless optical communication system (UWOC) to deliver high-speed data services using the abundant optical spectrum. However, wireless ...  Read More ...
The Proposition of Three Approaching Ways to Implement Tan-sigmoid Activation Function in FPGA
The Proposition of Three Approaching Ways to Implement Tan-sigmoid Activation Function in FPGA

Manal Talib Ali; Bassam H. Abed

Volume 40, Issue 2 , February 2022, , Page 311-321

https://doi.org/10.30684/etj.v40i2.2160

Abstract
  Hyperbolic tangents and Sigmoid are commonly used for Artificial Neural Networks as activation functions. The complex equation of the activation function is one of the most difficult ...  Read More ...
Design and FPGA Implementation of Intelligent Fault Detection in Smart Wireless Sensor Networks
Design and FPGA Implementation of Intelligent Fault Detection in Smart Wireless Sensor Networks

Mohammed H. Hadi; Abbas Hussain Issa; Atheer Alaa Sabri

Volume 39, 4A , April 2021, , Page 653-662

https://doi.org/10.30684/etj.v39i4A.1951

Abstract
  In this paper, both the design and hardware of Fault Detection (FD) in Wireless Sensor Network (WSN) was implemented using FPGA NI myRIO kit, wireless temperature sensors network with ...  Read More ...
Intelligent Monitoring for DC Motor Performance Based on FPGA
Intelligent Monitoring for DC Motor Performance Based on FPGA

Abbas H. Issa; Bilal Z. Ahmed

Volume 34, 13A , December 2016, , Page 2490-2499

https://doi.org/10.30684/etj.34.13A.11

Abstract
  This paper presents a fault monitoring of DC motors. A neural network is prepared to processes the inputs parameters “motor speed and current” collected from sensors and ...  Read More ...
Hybrid Techniques for Proposed Intelligent Digital Image Watermarking
Hybrid Techniques for Proposed Intelligent Digital Image Watermarking

Bashar S Mahdi; Alia K. Abdul Hassan

Volume 33, 4B , April 2015, , Page 702-713

https://doi.org/10.30684/etj.33.4B.13

Abstract
  Digital watermarking provides a solution of the recent problems such as a copyright protection and digital content authentication, as well as the balancing between the copyright protection ...  Read More ...
Image Based Vehicle Traffic Measurement
Image Based Vehicle Traffic Measurement

Hamid M. Hasan

Volume 32, Issue 11 , October 2014, , Page 2722-2733

https://doi.org/10.30684/etj.32.11A.10

Abstract
  This research deals with measurement of the density of vehicles traffic. The traffic density is estimated from an image captured using the ordinary optical camera. An image processing ...  Read More ...
Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks
Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks

Fatin Mahmoud Shehab; Raid Rafi Omar; Radhwan Yousif Sedik

Volume 32, Issue 9 , September 2014, , Page 2277-2285

https://doi.org/10.30684/etj.32.9A14

Abstract
  Recently artificial neural network (ANN) has been applied for estimating reference evapo-transpiration (ETₒ).In this study a mathematical model was built by application the cascade ...  Read More ...
Vibration Based - Crack Detection in Simplified Wind Turbine Blades Using Artificial Neural Networks
Vibration Based - Crack Detection in Simplified Wind Turbine Blades Using Artificial Neural Networks

Mauwafak A. Tawfik; Mohammed I. Abu-Tabikh; Farouk O. Hamdoon

Volume 32, Issue 8 , August 2014, , Page 2056-2069

https://doi.org/10.30684/etj.32.8A13

Abstract
  Wind turbine blades are complicated components for inspection by non-destructive techniques because they are multi-layered, have variable thickness and are made of anisotropic materials. ...  Read More ...
Edge Detection Using Scaled Conjugate Gradient Algorithm in Back propagation Neural Network
Edge Detection Using Scaled Conjugate Gradient Algorithm in Back propagation Neural Network

Walaa M. Khalaf; Mohammed Ali Tawfeeq; Kadhum Al-Majdi

Volume 32, Issue 2 , February 2014, , Page 385-395

https://doi.org/10.30684/etj.32.2A.8

Abstract
  This paper introduces a proposed method based on a backpropagation artificial neural network using Scaled Conjugate Gradient (SCG) training algorithm so as to gain the edges of any ...  Read More ...
Designing a Nonlinear PID Neural Controller of Differential Braking System for Vehicle Model Based on Particle Swarm Optimization
Designing a Nonlinear PID Neural Controller of Differential Braking System for Vehicle Model Based on Particle Swarm Optimization

Ahmed Sabah Al-Araji

Volume 32, 1A , January 2014, , Page 197-214

https://doi.org/10.30684/etj.32.1A.15

Abstract
  This paper presents a nonlinear PID neural controller for the 2-DOF vehicle model in order to improve stability and performances of vehicle lateral dynamics by achieving required yaw ...  Read More ...
Integration of Swarm Intelligence and Artificial Neural Network for Medical Image Recognition
Integration of Swarm Intelligence and Artificial Neural Network for Medical Image Recognition

Hanan A. R. Akkar; Samera Shams Hussain

Volume 31, Issue 13 , August 2013, , Page 2548-2560

https://doi.org/10.30684/etj.31.13A.11

Abstract
  Neural network technology plays an important role in the development of new medical diagnostic assistance or what is known as “computer aided” that based on image recognition.Thispaper ...  Read More ...
Neural NetworkModeling of Oxidation Kinetics in Air of Steel-T21 Alloy Coated by Simultaneous Germanium-Doped Aluminizing-Silicon zing Process
Neural NetworkModeling of Oxidation Kinetics in Air of Steel-T21 Alloy Coated by Simultaneous Germanium-Doped Aluminizing-Silicon zing Process

Abbas Khammas; Mohanned M. H.AL-Khafaji

Volume 31, 4A , April 2013, , Page 632-645

https://doi.org/10.30684/etj.31.4A.3

Abstract
  In this work a pack cementation of germanium-doped aluminum and silicon coatings on low alloy steel type-T21 has been applied. This gives significant improvement in the oxidation. Steel-T21 ...  Read More ...
Design of Beam-Columns Using Artificial Neural Networks
Design of Beam-Columns Using Artificial Neural Networks

Abdelmaseeh Bakos Keryou; Raid Rafi Al-Nima; Rafal Naheth Wadie

Volume 30, Issue 16 , September 2012, , Page 2843-2857

https://doi.org/10.30684/etj.30.16.8

Abstract
  In this paper, manual design of beam-columns, based on the procedure adopted by american society of steel construction, is described. an attempt has been taken to apply artificial neural ...  Read More ...
Semi – Chaotic Mutual Learning Platform for Key – Exchange Algorithm Using Neural Network
Semi – Chaotic Mutual Learning Platform for Key – Exchange Algorithm Using Neural Network

Enas H. Salih; Mohamad AB. Saleh; Mohammed Gheni Alwan

Volume 30, Issue 11 , June 2012, , Page 1971-1979

https://doi.org/10.30684/etj.30.11.11

Abstract
  Neural network has been emerged the cryptography field as efficient tool for both cryptanalysis and cryptography due to its amazing ability to explore solution space for a given problem. ...  Read More ...
A Model for The Prediction of Fracture Toughness Using Neural Network
A Model for The Prediction of Fracture Toughness Using Neural Network

Aseel abdulbaky; Dhafer Al-Fattal; Harry Bhadeshia; Talal Abdul Jabbar

Volume 30, Issue 5 , March 2012, , Page 868-885

https://doi.org/10.30684/etj.30.5.13

Abstract
  The purpose of this research programme is to develop quantitative models for the prediction of mechanical properties (fracture toughness) using experimental data collected from the ...  Read More ...
Using Hamming Network to Decoding Binary Cyclic Code
Using Hamming Network to Decoding Binary Cyclic Code

Hind Abd Al-Razzaq

Volume 29, Issue 11 , August 2011, , Page 2093-2101

https://doi.org/10.30684/etj.29.11.1

Abstract
  This work, efforts are concentrated on solving the problem of decoding binary cyclic code, using hamming neural network. Therefore, this work shows the ability of hamming network in ...  Read More ...
Edge Detection Based on Standard Deviation Value and Back Propagation Algorithm of Artificial Neural Network
Edge Detection Based on Standard Deviation Value and Back Propagation Algorithm of Artificial Neural Network

Ammar Sabr Majed; Mohammed Hussien Miry; Ali Hussien Miry

Volume 29, Issue 3 , February 2011, , Page 462-469

https://doi.org/10.30684/etj.29.3.4

Abstract
  This paper presents a proposed neural network based edge detection algorithm. we have used artificial neural network system to decide about whether each pixel is edge or not. First ...  Read More ...
Constructing Process Identification Simulator Based on Artificial Neural Network
Constructing Process Identification Simulator Based on Artificial Neural Network

Saad AL - Shaban; Saad AL - Sakafi; Zainab Saeed Abood

Volume 24, Issue 2 , February 2005, , Page 146-159

https://doi.org/10.30684/etj.24.2A.9

Abstract
  Abstract The aim of this paper is to build a process simulator to aid the process and control engineers in design and simulation . The simulator is to be built of software modules . ...  Read More ...