Determination Efficient Classification Algorithm for Credit Card Owners: Comparative Study
Determination Efficient Classification Algorithm for Credit Card Owners: Comparative Study

Raghad A. Azeez

Volume 39, 1B , March 2021, , Page 21-29

https://doi.org/10.30684/etj.v39i1B.1577

Abstract
  Today in the business world, significant loss can happen when the borrowers ignore paying their loans. Convenient credit-risk management represents a necessity for lending institutions. ...  Read More ...
A New Hybrid Technique for Face Identification Based on Facial Parts Moments Descriptors
A New Hybrid Technique for Face Identification Based on Facial Parts Moments Descriptors

Shaymaa M. Hamandi; Abdul Monem S. Rahma; Rehab F. Hassan

Volume 39, 1B , March 2021, , Page 117-128

https://doi.org/10.30684/etj.v39i1B.1903

Abstract
  Robust facial feature extraction is an effective and important process for face recognition and identification system. The facial features should be invariant to scaling, translation, ...  Read More ...
Random Forest (RF) and Artificial Neural Network (ANN) Algorithms for LULC Mapping
Random Forest (RF) and Artificial Neural Network (ANN) Algorithms for LULC Mapping

Tay H. Shihab; Amjed N. Al-Hameedawi; Ammar M. Hamza

Volume 38, 4A , April 2020, , Page 510-514

https://doi.org/10.30684/etj.v38i4A.399

Abstract
  In this paper to make use of complementary potential in the mapping of LULC spatial data is acquired from LandSat 8 OLI sensor images are taken in 2019. They have been rectified, enhanced ...  Read More ...
Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process
Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process

Rasha R. Elias

Volume 38, 3A , March 2020, , Page 295-307

https://doi.org/10.30684/etj.v38i3A.337

Abstract
  In this paper, Artificial Neural Network was adopted to predict the effect of current, the concentration of aluminum oxide (Al2O3) and graphite Nanopowders in dielectric fluid for the ...  Read More ...
Artificial Intelligent Technique for Power Management Lighting Based on FPGA
Artificial Intelligent Technique for Power Management Lighting Based on FPGA

Hanan A. R. Akkar; Sameh J. Mohammed

Volume 38, Issue 2 , February 2020, , Page 232-239

https://doi.org/10.30684/etj.v38i2A.305

Abstract
  The modern technological advances gave rise to new intelligent ways of performance and management in various fields of our lives. The employment of the artificial intelligent techniques ...  Read More ...
A Hybrid Neural-Fuzzy Network Based Fault Detection and IsolationSystem for DC Motor of Robot Manipulator
A Hybrid Neural-Fuzzy Network Based Fault Detection and IsolationSystem for DC Motor of Robot Manipulator

Arkan A. Jassim; Abbas H. Issa; Qusay A. Jawad

Volume 37, 8A , August 2019, , Page 326-331

https://doi.org/10.30684/etj.37.8A.3

Abstract
  In this paper, the detecting and isolating fault that occurs in (actuator and sensor) in robot manipulator, which is used as a mathematical model were proposed for ...  Read More ...
Mapping LCLU Using Python Scripting
Mapping LCLU Using Python Scripting

Oday Z. Jasim; Khalid I. Hasoon; Noor E. Sadiqe

Volume 37, 4A , April 2019, , Page 140-147

https://doi.org/10.30684/etj.37.4A.5

Abstract
  Land cover land use changes constantly with the time at local, regional, and global scales, therefore, remote sensing provides wide, and broad information for quantifying the location, ...  Read More ...
Predictive Modeling of Multilayer Graphene Growth by Chemical Vapour Deposition on Co-Ni/Al2O3 Substrate using Artificial Neural Network
Predictive Modeling of Multilayer Graphene Growth by Chemical Vapour Deposition on Co-Ni/Al2O3 Substrate using Artificial Neural Network

May A. Muslim; Zainab Yousif; Mohamed A. Abdel Ghany

Volume 37, 1C , April 2019, , Page 113-119

https://doi.org/10.30684/etj.37.1C.18

Abstract
  The uniqueness of multilayer graphene as extremely high carrier mobility, tune-able band gap and high elasticity has made it be considered as a high prospect engineering material that ...  Read More ...
A Simplified Recurrent Neural Network Trained by Gbest-Guided Gravitational Search Algorithm to Control Nonlinear Systems
A Simplified Recurrent Neural Network Trained by Gbest-Guided Gravitational Search Algorithm to Control Nonlinear Systems

Omar F. Lutfy; Ahmed L. Jassim

Volume 36, 12A , December 2018, , Page 1290-1301

https://doi.org/10.30684/etj.36.12A.11

Abstract
  This paper presents a feedback control strategy using a Simplified Recurrent Neural Network (SRNN) for nonlinear dynamical systems. As an enhancement for a previously reported modified ...  Read More ...
Applying Modern Optimization Techniques for Prediction Reaction Kinetics of Iraqi Heavy Naphtha Hydrodesulferization
Applying Modern Optimization Techniques for Prediction Reaction Kinetics of Iraqi Heavy Naphtha Hydrodesulferization

Zaidoon M. Shakor; Anfal H. Sadeiq

Volume 36, 11A , November 2018, , Page 1171-1175

https://doi.org/10.30684/etj.36.11A.6

Abstract
  In this study, a powerful modern optimization techniques such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Artificial neural network (ANN) were applied to estimate ...  Read More ...
New Strategies for Associative Memories
New Strategies for Associative Memories

Azad R. Kareem; Saja A. Talib

Volume 36, 2A , February 2018, , Page 207-212

https://doi.org/10.30684/etj.36.2A.13

Abstract
  Associative memory is a neural network used to save collection of input and output data at its layers. Each output data is produced coincide with a given input. It can be useful as ...  Read More ...
Multibiometric Identification System based on SVD and Wavelet Decomposition
Multibiometric Identification System based on SVD and Wavelet Decomposition

R.A. Hussein; H.A. Jeiad; M.N. Abdullah

Volume 35, 1A , January 2017, , Page 61-67

https://doi.org/10.30684/etj.2017.127311

Abstract
  Biometric systems refer to the systems used for human recognition based on their characteristics. These systems are widely used in security institutions and access control. In this ...  Read More ...
Optimization of Electrochemical Machining Process Based on Artificial Neural Network Technique
Optimization of Electrochemical Machining Process Based on Artificial Neural Network Technique

Noor Abd Al-Hassan; Shukry H.Aghdeab; Abbas F.Ibrahim

Volume 34, Issue 15 , December 2016, , Page 2960-2970

https://doi.org/10.30684/etj.34.15A.16

Abstract
  Electrochemical machining (ECM) is one of nonconventional machining process used to operation the most harsh materials that difficult to operate in conventional machining. This search ...  Read More ...
Surface Roughness Prediction Using Circular Interpolation Based on Artificial Neural Network in Milling Operation
Surface Roughness Prediction Using Circular Interpolation Based on Artificial Neural Network in Milling Operation

Maan Aabid Tawfiq; Ahmed A.A. Duroobi; Safaa K. Ghazi

Volume 34, Issue 5 A , May 2016, , Page 983-998

Abstract
  This paper presents a method togenerate tool path and get G-codes for complex shapes depending on mathematical equations without using the package programs that use linear interpolation. ...  Read More ...
Computation of Seepage through Homogenous Earth Dams with Horizontal Toe Drain
Computation of Seepage through Homogenous Earth Dams with Horizontal Toe Drain

Raad Hoobi Irzooki

Volume 34, Issue 3 , March 2016, , Page 430-440

https://doi.org/10.30684/etj.34.3A.1

Abstract
  This investigation concerns to find a new equation for computing the quantity of seepage through homogenous earth dam with horizontal toe drain. For this purpose the computer program ...  Read More ...
Neural Network Modelling of Tds Concentrations in Shatt Al-Arab River Water
Neural Network Modelling of Tds Concentrations in Shatt Al-Arab River Water

Ahmed Naseh Ahmed; Ammar S. Dawood

Volume 34, 2A , February 2016, , Page 334-345

https://doi.org/10.30684/etj.34.2A.12

Abstract
  River water salinity is a big concern in many countries, considering agricultural and drinking usages. Therefore, prediction of amount of Total Dissolved Solid (TDS) is a necessary ...  Read More ...
Hydraulic Characteristics of Flow Over Triangular Broad Crested Weirs
Hydraulic Characteristics of Flow Over Triangular Broad Crested Weirs

Raad Hoobi Irzooki; Mohammad Faiq Yass

Volume 33, 7A , July 2015, , Page 86-96

https://doi.org/10.30684/etj.33.7A.15

Abstract
  In the present work, the hydraulic characteristics of flow over triangular broad crested weirs with triangular front or back face have been experimentally studied. The main objective ...  Read More ...
Artificial Neural Networks Based Fingerprint  Authentication
Artificial Neural Networks Based Fingerprint Authentication

Abbas H. Issa

Volume 33, Issue 5 , June 2015, , Page 1255-1271

Abstract
  Fingerprint authentication and recognition is an important subject that has been widely used in various applications because of its reliability and accuracy in the process of authenticating ...  Read More ...
Investigating Forward kinematic Analysis of a 5-axes Robotic Manipulator using Denavit-Hartenberg Method and Artificial Neural Network
Investigating Forward kinematic Analysis of a 5-axes Robotic Manipulator using Denavit-Hartenberg Method and Artificial Neural Network

Israa R. Shareef; Iman A. Zayer; Izzat A. Abd Al Kareem

Volume 32, Issue 11 , October 2014, , Page 2700-2713

https://doi.org/10.30684/etj.32.11A.8

Abstract
  Robot Forward kinematic equations' analysis is an essential and important manner to analysis the position and orientation of the end effectors of a robotic manipulator, where in this ...  Read More ...
OFDM Channel Estimation Based on Intelligent Systems
OFDM Channel Estimation Based on Intelligent Systems

Ismail Mohammad Jaber; Hanan A. R. Akkar; Haraa Raheim Hatem

Volume 32, Issue 2 , February 2014, , Page 305-324

https://doi.org/10.30684/etj.32.2A.3

Abstract
  This work is dedicated to the study of reducing Bit Error Rate (BER) when transferring data in the system Orthogonal Frequency Division Multiplexing (OFDM) by estimating the carrier ...  Read More ...
Prediction of Square Footing Settlement under Eccentric Loading on Gypseous Soil through Proposed Surface for Dry and Soaked States
Prediction of Square Footing Settlement under Eccentric Loading on Gypseous Soil through Proposed Surface for Dry and Soaked States

Bushra S. Z. Albusoda; Abdul-Kareem E; R. S.Hussein

Volume 31, Issue 20 , November 2013, , Page 217-237

Abstract
  Gypseous soils as any other soils deform under loading, this deformation differs greatly between its dry state and its soaked state. This deformation also differs when the loading is ...  Read More ...
Neuro-Fuzzy Controller forMethanol Recovery Distillation Column
Neuro-Fuzzy Controller forMethanol Recovery Distillation Column

Safa A. Al-Naimi; Ghydaa M. Jaid

Volume 31, A 6 , June 2013, , Page 1026-1044

https://doi.org/10.30684/etj.31.6A2

Abstract
  Distillation columns are widely used in chemical processes as separation systems in industries. In order to gain better product quality and lower the energy consumption of the distillation ...  Read More ...
ECG Signal Diagnoses Using Intelligent Systems Based on FPGA
ECG Signal Diagnoses Using Intelligent Systems Based on FPGA

Ali M. Abdul Kareem; Hanan A.R. Akkar

Volume 31, 7A , June 2013, , Page 1351-1364

https://doi.org/10.30684/etj.31.7A9

Abstract
  This paper presents the use of Particle Swarm Optimization (PSO), neural networks with the most promising supervised learning algorithms for automatic detection of cardiac arrhythmias ...  Read More ...
Text Hiding Using Artificial Neural Networks
Text Hiding Using Artificial Neural Networks

Haider Tarish Haider; Faiq Sabar Baji; Ahmad Saeed Mohammad

Volume 30, Issue 20 , December 2012, , Page 3553-3564

https://doi.org/10.30684/etj.30.20.6

Abstract
  The growth of information technology and data transfer led to increase the data attacks, so that information security becomes an important issue to keep the data saved during information ...  Read More ...
Early Detection of Disease-Viral Hepatitis Type-C Using Elman Artificial Neural Network
Early Detection of Disease-Viral Hepatitis Type-C Using Elman Artificial Neural Network

Ghaidaa Kaain Salih

Volume 30, Issue 12 , July 2012, , Page 2150-2164

Abstract
  The problem of founding important information in complex medical images which are needed in diagnosing of diseases with the complex data considered as one of the predication problem ...  Read More ...