Quadratic Support Vector Machine and K-Nearest Neighbor Based Robust Sensor Fault Detection and Isolation
Quadratic Support Vector Machine and K-Nearest Neighbor Based Robust Sensor Fault Detection and Isolation

Ahmed M. Abed; Sabah A. Gitaffa; Abbas H. Issa

Volume 39, 5A , May 2021, , Page 859-869

https://doi.org/10.30684/etj.v39i5A.2002

Abstract
  Fault detection plays a serious role in high-cost and safety-critical processes. There are two main drivers for continuous improvement in the area of early detection of process faults ...  Read More ...
Lung Cancer Detection from X-ray images by combined Backpropagation Neural Network and PCA
Lung Cancer Detection from X-ray images by combined Backpropagation Neural Network and PCA

Israa S. Abed

Volume 37, 5A , May 2019, , Page 166-171

https://doi.org/10.30684/etj.37.5A.3

Abstract
  The lungs are portion of a complex unit, enlarging and relaxing numerus times every day to supply oxygen and exude CO2. Lung disease might occur from troubles in any part of it. Carcinoma ...  Read More ...
High Biometric Recognition Based on Histogram and Semi-discrete Matrix Decomposition via Neural Network
High Biometric Recognition Based on Histogram and Semi-discrete Matrix Decomposition via Neural Network

Ekbal Hussein Ali; Sameir A. Azeiz; Suad Ali Eissa

Volume 34, 12A , December 2016, , Page 2239-2248

https://doi.org/10.30684/etj.34.12A.7

Abstract
  Iris recognition is regarded as the most reliable and accurate biometric identification system available highly protected and stable.Iris situating is the main focus in the procedure ...  Read More ...
Weight Sensors Based Human Walking Step Recognition System: Implementation and Statistical Evaluation
Weight Sensors Based Human Walking Step Recognition System: Implementation and Statistical Evaluation

Sahar Salman Mahmood

Volume 33, 8A , October 2015, , Page 1876-1889

https://doi.org/10.30684/etj.2015.108829

Abstract
  It is well known that with the growing of the humanity and all the development in technologies, there is an increasing in need for recognition systems. These systems can recognize people ...  Read More ...
Modified Multi-Category Digital Learning Networks for Red Blood Cell Inspection
Modified Multi-Category Digital Learning Networks for Red Blood Cell Inspection

Mahmuod Hamza AL-Muifraje; Suhad Q.G.H.Haddad

Volume 33, 6A , June 2015, , Page 1284-1298

https://doi.org/10.30684/etj.33.6A.1

Abstract
  This paper reports research conducted into classification of red blood cells using multi-category digital learning networks. It is an effective solution for providing healthcare with ...  Read More ...
One Parameter Composite Semigroups of Linear Bounded Operators in Strong Operator Topology of Schatten Class Cp
One Parameter Composite Semigroups of Linear Bounded Operators in Strong Operator Topology of Schatten Class Cp

Samir Kasim Hassan; Al-Taie M; Al-Malki Anam; Al-Attar Abeer; Mustafa Khaleel Ismael; Fatema Ahmed Sadeq; Radhi A .Zboon; Jehad R.Kider; Samir K .Hassan; Hussain J. M. Alalkawi; Raad H. Majid; Rawaa A. Alomairy; Luma Abdul Ghani Zghair; Hadia Kadhim J.Al-Ogili; Assifa M. Mohamad; Abbas Sheyaa Alwan; Haider L. Aneed; Assim H Yousif; Salema Sultan Salman; Abbas Hussien Miry; Abduladhem A.Ali; Mohammed Zeki Al-Faiz; Sabah N. mahmood; Khansaa Dawood Selman; Shaymaa Tareq Kadhim

Volume 29, Issue 8 , June 2011, , Page 1463-1470

https://doi.org/10.30684/ etj.29.8.2

Abstract
  For semigroups of linear bounded operators on Hilbert spaces, the problem of being in Cp , 0 Keywords  Read More ...
GUI Simulation for Movement of Human Arm Driven by EMG Signal
GUI Simulation for Movement of Human Arm Driven by EMG Signal

Abbas Hussien Miry; Abduladhem A.Ali; Mohammed Zeki Al-Faiz

Volume 29, Issue 8 , June 2011, , Page 1597-1609

https://doi.org/10.30684/ etj.29.8.14

Abstract
  This work presents a simulation methodology applied to a human arm. It is aimed to allow the human-assisting manipulators to perform complex movement based on electromyography (EMG) ...  Read More ...
Neuro-Snake Pattern Recognition And Classification Using Gradiant Vector Flow (Gvf And Hnn)
Neuro-Snake Pattern Recognition And Classification Using Gradiant Vector Flow (Gvf And Hnn)

Wissam Hassan Ali

Volume 27, Issue 5 , March 2009, , Page 973-982

https://doi.org/10.30684/etj.27.5.11

Abstract
  The most popular applications of Hopfield neural network algorithm (HNN) arepattern recognition and classification. But the HNN has some limitation like the localminima (oscillation) ...  Read More ...