Human Face Recognition Using Wavelet Network

Dr. Tarik Zeyad

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Publication Date

Sat Dec 02 2017

Journal Name

Al-khwarizmi Engineering Journal

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1

Issue Number

2

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Human Face Recognition Using Wavelet Network

Keywords: Discrete Wavelet transform

WSOM

back propagation.

Dr. Tarik Zeyad

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This paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data, where wavelet basis transforms are used as activation function.

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Publication Date

Sun Nov 01 2009

Journal Name

Tencon 2009 - 2009 Ieee Region 10 Conference

Optimizing the MPLS support for real time IPv6-Flows using MPLS-PHS approach

Mohamad I.J.

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(4)

Publication Date

Fri Oct 14 2022

Journal Name

المجلة العراقية لعلوم التربة

REVIEW: USING MACHINE VISION AND DEEP LEARINING IN AUTOMATED SORTING OF LOCAL LEMONS

Hussein

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Sorting and grading agricultural crops using manual sorting is a cumbersome and arduous process, in addition to the high costs and increased labor, as well as the low quality of sorting and grading compared to automatic sorting. the importance of deep learning, which includes the artificial neural network in prediction, also shows the importance of automated sorting in terms of efficiency, quality, and accuracy of sorting and grading. artificial neural network in predicting values and choosing what is good and suitable for agricultural crops, especially local lemons.

Publication Date

Mon Oct 01 2018

Journal Name

2018 International Conference On Advanced Science And Engineering (icoase)

Performance of BCH and RS Codes in MIMO System Using MPFEC Diversity Technique

Ahmad

Alyaa

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(2)

(1)

Publication Date

Sun May 01 2016

Journal Name

Iosr Journal Of Computer Engineering

Combining Arabic Nested Noun Compound and Collocation Extraction Using Linguistic and Statistical Approach

Maryam Yaseen

Luma Adnan

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(1)

Publication Date

Sun Sep 14 2025

Journal Name

Iraqi Journal Of Mechanical And Material Engineering

STUDY ON THE PARAMETER OPTIMIZATION INMAGNETIC ABRASIVE POLISHING FORBRASS CUZN33PLATE USING TAGUCHI METHOD

Magnetic Abrasive polishing

MAP

non-ferromagnetic materials

surface roughness

Taguchi experimental design

magnetic abrasive powder

electromagnetic inductor

flat surface.

Nazar Kais

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This paper describes a new finishing process using magnetic abrasives were newly made to finish effectively brass plate that is very difficult to be polished by the conventional machining processes. Taguchi experimental design method was adopted for evaluating the effect of the process parameters on the improvement of the surface roughness and hardness by the magnetic abrasive polishing. The process parameters are: the applied current to the inductor, the working gap between the workpiece and the inductor, the rotational speed and the volume of powder. The analysis of variance(ANOVA) was analyzed using statistical software to identify the optimal conditions for better surface roughness and hardness. Regressions models based on statistical m

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Publication Date

Thu Mar 21 2019

Journal Name

Biochemical & Cellular Archives

EVALUATION OF THE POTASSIUM AVAILABILITY IN THE SALINE SOILS USING THE THERMODYNAMIC CRITERION

Shatha

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Publication Date

Sat Jan 01 2011

Journal Name

Journal Of Engineering

TREATMENT OF A HIGH STRENGTH ACIDIC INDUSTRIAL CHEMICAL WASTEWATER USING EXPANDED BED ADSORBER

Acetic acid removal

expanded bed adsorber

wastewater treatment

adsorption on activated carbon.

Sawsan A. M.

Sarmad

Haider Abbas

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Treatment of a high strength acidic industrial wastewater was attempted by activated carbon
adsorption to evaluate the feasibility of yielding effluents of reusable qualities. The experimental
methods which were employed in this investigation included batch and column studies. The
former was used to evaluate the rate and equilibrium of carbon adsorption, while the latter was
used to determine treatment efficiencies and performance characteristics. Fixed bed and expanded
bed adsorbers were constructed in the column studies. In this study, the adsorption behavior of acetic acid onto activated carbon was examined as a function of the concentration of the adsorbate, contact time and adsorbent dosage. The adsorption data was mo

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Publication Date

Sun Mar 01 2020

Journal Name

Journal Of Mechanical Science And Technology

Damage detection in glass/epoxy composite structure using 8–12 GHz X-band

Hussein A.R.

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(7)

(5)

Publication Date

Tue Jul 06 2021

Journal Name

Journal Of Ecological Engineering

Chromium Elimination from Contaminated Soil by Electro kinetic Remediation, Using Garlic Peels Powder

Laith Hamdan

Ali Omran

Nagam

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(7)

(5)

Publication Date

Tue Aug 10 2021

Journal Name

Design Engineering

Lossy Image Compression Using Hybrid Deep Learning Autoencoder Based On kmean Clusteri

Image compression

Convolutional Autoencoder (CAE)

k-mean algorithm

PSNR

Compression Rate (CR)

MSE

Clustering

CLIC

Kodak

deep learning

lossy

Mohammed

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Image compression plays an important role in reducing the size and storage of data while increasing the speed of its transmission through the Internet significantly. Image compression is an important research topic for several decades and recently, with the great successes achieved by deep learning in many areas of image processing, especially image compression, and its use is increasing Gradually in the field of image compression. The deep learning neural network has also achieved great success in the field of processing and compressing various images of different sizes. In this paper, we present a structure for image compression based on the use of a Convolutional AutoEncoder (CAE) for deep learning, inspired by the diversity of human eye

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