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 ...
Thermal Performance of an Evacuated-Tube Solar Collector Using Nanofluids and an Electrical Curtain Controlled by an Artificial Intelligence Technique
Thermal Performance of an Evacuated-Tube Solar Collector Using Nanofluids and an Electrical Curtain Controlled by an Artificial Intelligence Technique

Hussam J. Rashid; Khalid F. Sultan; Hosham S. Anead

Volume 40, Issue 1 , January 2022, , Page 8-19

https://doi.org/10.30684/etj.v40i1.2021

Abstract
  This paper studies the improvement of an evacuated tube solar collectors(ETSCs) performance in two way. The first is by adding a finned electronic curtain in front of the solar collector. ...  Read More ...
Improvement of Surface Roughness in Single Point Incremental Forming Process by the Implementation of Controlled Vibration
Improvement of Surface Roughness in Single Point Incremental Forming Process by the Implementation of Controlled Vibration

Reham A. Nema; Mauwafak A. Tawfik; Muthanna H. Sadoon

Volume 40, Issue 1 , January 2022, , Page 217-225

https://doi.org/10.30684/etj.v40i1.2244

Abstract
  Vibration implementation that assists metal forming has many advantages, such as enhancement of surface equality, reducing the forming force and decreasing the stresses. The technology ...  Read More ...
Prediction of Fatigue Life of Fiber Glass Reinforced Composite (FGRC) using Artificial Neural Network
Prediction of Fatigue Life of Fiber Glass Reinforced Composite (FGRC) using Artificial Neural Network

M.S. Abdu_Lateef; M.S. Abdu; N.S. Abdulrazaq; A.G. Mohammed

Volume 35, 4A , April 2017, , Page 327-339

https://doi.org/10.30684/etj.35.4A.4

Abstract
  The present work studies the mechanical properties of composite materials, experimentally and analytically, that are fabricated by stacking 4-layers of fiberglass reinforced with polyester ...  Read More ...
Physical and Mechanical Properties Estimation of Ti/HAP Functionally Graded Material Using Artificial Neural Network
Physical and Mechanical Properties Estimation of Ti/HAP Functionally Graded Material Using Artificial Neural Network

Jawad K. Oleiwi; Rana A. Anaee; Sura A. Muhsin

Volume 34, 12A , December 2016, , Page 2174-2180

https://doi.org/10.30684/etj.34.12A.1

Abstract
  This study presents the effort in applying neural network-based system identification techniques by using Back- propagation algorithm to predict somephysical mechanical properties of ...  Read More ...
A Novel Modified Space Vector Pulse Width Modulator Based on Artificial Neural Network for Z-Source Inverter
A Novel Modified Space Vector Pulse Width Modulator Based on Artificial Neural Network for Z-Source Inverter

Majid K. Al-khatat; Lina J. Rashad

Volume 34, 9A , September 2016, , Page 1873-1887

https://doi.org/10.30684/etj.34.9A.13

Abstract
  This paper proposes a novel modified space vector pulse width modulator based on Artificial Neural Network (ANN).This method overcomes the drawbacks of conventional DSP-based modulator ...  Read More ...
A Proposed System for Sound Retrieval Using MAS and ANN
A Proposed System for Sound Retrieval Using MAS and ANN

Abeer Tariq; Ikhlas khalaf; shatha habeeb

Volume 30, Issue 14 , August 2012, , Page 2480-2492

https://doi.org/10.30684/etj.30.14.11

Abstract
  As the use of sounds for computer interfaces, electronic equipment and multimedia contents, has increased, the role of sound design tools has become more important. In sound retrieval, ...  Read More ...
ANN Modified Design Model to Adjust Field Current of D.C. Motor
ANN Modified Design Model to Adjust Field Current of D.C. Motor

Ahlam Luaibi Shuraiji; Suad Khairi Mohammed; Alia Jasim Mohammed

Volume 28, Issue 11 , May 2010, , Page 2132-2142

https://doi.org/10.30684/etj.28.11.4

Abstract
  This work is concerned with designing an adjusted field current of D.C.motors to obtain constant speed, based on ANN. The design is employed by usingtraining model with supervised manner ...  Read More ...