Dr. Yasmine Mazin Tabra

@nahrainuniv.edu.iq

college of information engineering
al nahrain university



              

https://researchid.co/yasminemazin
5

Scopus Publications

44

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Reduced hardware requirements of deep neural network for breast cancer diagnosis
    Yasmine M. Tabra and Furat N. Tawfeeq

    Institute of Advanced Engineering and Science
    Identifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration on each subsystem to futher reduce the hardware requirements. The DNN was designed using a system generator and implemented using very hardware description language (VHDL). The system achievments outcomes the superior’s accuracy rate of approximately 99.6 percent in distinguishing bengin from malignant tissue. Also, the hardware resources were reduced by 30 percent from works of literature with an error rate of 7e-4 when using the Kintex-7 xc7k325t-3fbg676 board.

  • FPGA implementation of newLM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G
    Yasmine M. Tabra and Bayan Mahdi Sabbar

    Institute of Advanced Engineering and Science
    <span lang="EN-US">The revolution in 5G mobile systems require changes to how image is handled. These changes are represented by the required processing time, the amount of space for uploading and downloading. In this paper, a development on WT (Wavelet Transform) along with LM-SPIHT (Listless-Modified Set Partitioning in Hierarchical tree) coding and with additional level of Runlength encoding for image compression has been proposed. The new implementation reduces the amount of data needed to be stored in several stages, also the amount of time required for processing. The compression has been implemented using VHDL (Very High Descriptive Language) on netFPGA-1G-CLM Kintex-7 board. The new implementation results show a reduction in the complexity as processing time.</span>

  • Hybrid MVDR-LMS beamforming for massive MIMO
    Yasmine M. Tabra and Bayan Sabbar

    Institute of Advanced Engineering and Science
    <p>With the high speed of communication in LTE-5G, fast beamforming techniques need to be adopted. The training time required to form and steer the main lobes toward 5G multiple users must be short. Least-Mean-Square (LMS) training time is not suitable to work with in LTE-5G, but it has a good performance in forming multiple beams to large number of users and producing nulls in the interference direction. In this paper, an optimized hybrid MVDR-LMS beamforming algorithm is proposed to reduce the time required to estimate the antenna’s weights. This optimization is made by the benefit of previously set weights calculated using MVDR algorithms. The performance of the proposed hybrid MVDR-LMS algorithm tested using MATLAB 2016a.</p>

  • Initial phase effect on DOA estimation in MMIMO using Separated Steering Matrix
    Bayan Mahdi Sabar and Yasmine M. Tabra

    Universitas Ahmad Dahlan
    Providing simple and low complexity algorithms for estimating the direction of arrival in large systems using Massive MIMO is considered an important issue. In this paper a method with reduced complexity was proposed to estimate the direction of arrival in FD- MMIMO. The Separated Steering Matrix (SSM) algorithm uses two separated equations for estimating elevation and azimuth angles of Multi-users. This method reduces the complexity of calculating the covariance matrix by decreasing the size of this matrix. This technique is tested using 2D-MUSIC algorithm. Since the mobility of devices affects the accuracy of direction estimation, thus the effect of the initial phase of transmitted signal from mobile device is tested.

  • An effective spam filter based on a combined support vector machine approach
    Mumtaz M. Al Mukhtar and Yasmine M. Tabra

    Inderscience Publishers
    The volume of mass unsolicited e-mail, often known as spam, has recently increased enormously and has become a serious threat to not only internet but also to society. It is challenging to develop spam filters that can effectively eliminate the increasing volume of unwanted e-mails automatically. The present work presents a combination of support vector machine classifier for non-linear data (using an eligible kernel function) with appropriate data pre-processing as a spam filter. Data pre-processing is a vital part of text classification where the objective is to generate feature vectors usable by SVM kernels. The pre-processing steps include HTML removal, HTML replacement, de-obfuscation and stop-word-remover. The results obtained using the pre-processing level showed an improvement in the classification level. The estimated training and classification time for different document sizes indicate that the adopted method is practical and computationally efficient. Experimental results show that the approach can enhance the filtering performance effectively.

RECENT SCHOLAR PUBLICATIONS

  • Reduced hardware requirements of deep neural network for breast cancer diagnosis
    FNT Yasmine M. Tabra
    IAES International Journal of Artificial Intelligence (IJ-AI) 11 (4), 1362-1372 2022

  • Determination of FPGA Implementation of New LM-SPIHT Colored Image Compression with Reduced Complexity and Low Memory Requirement Compatible for 5G
    YM Tabra, BM Sabbar
    BP International 2021

  • New computer generated-SCMA codebook with maximized Euclidian distance for 5G
    YM Tabra, BM Sabbar
    Iraqi Journal of Information and Communication Technology 2 (2), 9-24 2019

  • Hybrid MVDR-LMS beamforming for massive MIMO
    BMS Yasmine M. Tabra
    Indonesian Journal of Electrical Engineering and Computer Science 16 (2 2019

  • FPGA implementation of new LM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G
    YM Tabra, BM Sabbar
    International Journal of Reconfigurable and Embedded Systems 8 (1), 1 2019

  • Beamforming with multiple access for 5G multimedia application
    YM Tabra
    Ph. D. thesis, Al-Nahrain University, 2019 (https://doi. org/10.13140/RG. 2 2019

  • Initial Phase Effect on DOA Estimation in MMIMO Using Separated Steering Matrix
    YM Tabra, BM Sabbar
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 16 (3) 2018

  • Optimal Algorithm for Estimation of Mobile Users Direction in 5G LTE
    YM Tabra, BM Sabbar
    I-manager’s Journal on Mobile Applications & Technologies 3 (2) 2016

  • Gate control system for new Iraqi license plate
    F Tawfeeq, Y Tabra
    Iraqi Journal for Computers and Informatics 41 (1), 1-3 2014

  • An Enhanced Method for Sprite Extracting
    F Nidhal, MT Yasamine
    i-Manager's Journal on Information Technology 3 (4), 9 2014

  • A Proposal for Internet Voting System in Iraq
    YM Tabra
    International Journal of Advanced Research in Computer Science and Software 2013

  • A Module for Enhancing Recognition System for QR Code Scanned Image
    F Nidhal, MT Yasamine
    i-Manager's Journal on Information Technology 1 (3), 1 2012

  • An effective spam filter based on a combined support vector machine approach
    MM Al-Mukhtar, YM Tabra
    International Journal of Internet Technology and Secured Transactions 4 (1 2012

  • A Suggested GUI Spam Filter Based on SVM Algorithm
    YM Tabra
    2009

MOST CITED SCHOLAR PUBLICATIONS

  • Hybrid MVDR-LMS beamforming for massive MIMO
    BMS Yasmine M. Tabra
    Indonesian Journal of Electrical Engineering and Computer Science 16 (2 2019
    Citations: 11

  • Gate control system for new Iraqi license plate
    F Tawfeeq, Y Tabra
    Iraqi Journal for Computers and Informatics 41 (1), 1-3 2014
    Citations: 10

  • New computer generated-SCMA codebook with maximized Euclidian distance for 5G
    YM Tabra, BM Sabbar
    Iraqi Journal of Information and Communication Technology 2 (2), 9-24 2019
    Citations: 7

  • Reduced hardware requirements of deep neural network for breast cancer diagnosis
    FNT Yasmine M. Tabra
    IAES International Journal of Artificial Intelligence (IJ-AI) 11 (4), 1362-1372 2022
    Citations: 3

  • Initial Phase Effect on DOA Estimation in MMIMO Using Separated Steering Matrix
    YM Tabra, BM Sabbar
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 16 (3) 2018
    Citations: 3

  • A Proposal for Internet Voting System in Iraq
    YM Tabra
    International Journal of Advanced Research in Computer Science and Software 2013
    Citations: 3

  • An effective spam filter based on a combined support vector machine approach
    MM Al-Mukhtar, YM Tabra
    International Journal of Internet Technology and Secured Transactions 4 (1 2012
    Citations: 3

  • FPGA implementation of new LM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G
    YM Tabra, BM Sabbar
    International Journal of Reconfigurable and Embedded Systems 8 (1), 1 2019
    Citations: 2

  • Beamforming with multiple access for 5G multimedia application
    YM Tabra
    Ph. D. thesis, Al-Nahrain University, 2019 (https://doi. org/10.13140/RG. 2 2019
    Citations: 1

  • Optimal Algorithm for Estimation of Mobile Users Direction in 5G LTE
    YM Tabra, BM Sabbar
    I-manager’s Journal on Mobile Applications & Technologies 3 (2) 2016
    Citations: 1