Abd Abrahim Mosslah

@uoanbar.edu.iq

Universty of Anbar, College of Islamic Sciences
Universty of Anbar

Abd Abrahim Mosslah


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https://researchid.co/abdabrahimmosslah
Assistant Professor: Abd Abrahim Mosslh, who was born in the Alaesawi village of Fallujah, obtained his M.Sc. in Computer Science from the College of the University of Mustanseriah. Iraq Baghdad. He is currently an instructor at the Islamic University of Anbar, Iraq. His research interests are deep learning, machine learning, artificial neural networks, computer networks, image processing, and genetic algorithms.

RESEARCH INTERESTS

Deep Learning, machine learning, Artificial Neural Networks, Computer Networks, Image Process
6

Scopus Publications

38

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • An Analysis of Image Processing in Forestry and Agriculture Review
    Abd Abrahim Mosslah, Amel H. Abbas
    Iop Conference Series Earth and Environmental Science, 2023
    Numerous techniques have been demonstrated for computer technologies to increase agricultural output. One method that is becoming into a valuable tool for picture processing. In order to help academics and farmers improve agricultural practices, this study provides a brief assessment on the use of image processing in forestry and agriculture. Modern agricultural techniques, pesticides and herbicides, plant nutrition management and plant development monitoring benefit greatly from image processing techniques. A future potential for image processing in various agricultural business situations is highlighted in this research. Segmentation in this context refers to the division of pixels in a picture into plant and nonplant pixels. For subsequent plant analysis, like plant categorization (in another meaning: determining this plant was considered either a crop or maybe a weed. Based on this analysis, the successful work depends herbicide application in smart agricultural applications, In this process, excellence is crucial. Fragmentation is first focused on through survey and then image pre-processing is carefully examined. Here, at this stage, the backgrounds of the plants are segmented (i.e., the soil attachments are isolated on one side and the plant on the other). The main plant harvesting strategies are three of which are segmentation based on threshold, segmentation based on deep learning and segmentation based on color index. The focus of our review is on color index methods due to their abundance in the literature. Therefore, according to literature research completed in last decade, specifically starting in the year 2008 to 2021, a thorough evaluation of the Color index-based categorization approaches are shown. Finally, we list the difficulties and a few chances for new breakthroughs in this field.
  • Automatic panoramic medical image stitching improvement based on feature-based approach
    Periodicals of Engineering and Natural Sciences, 2022
  • Efficient JPEG-LS for Lossless Compression of Rib Cage with Visual Quality Preservation
    Lecture Notes in Engineering and Computer Science, 2021
  • Biometrics detection and recognition based-on geometrical features extraction
    Azmi Shawkat Abdulbaqi, Reyadh Hazim Mahdi, Abd Ibrahim Mosslah
    International Conference on Advances in Sustainable Engineering and Applications Icasea 2018 Proceedings, 2018
    Recently, the biometrie detection and recognition have been more interest by people with the progress of technology nowadays. The human fingerprint is an ideal source of data for negative person identification. Fingerprint structure over time does not change, this feature is a good visible candidate solution. The fingerprint can be considered as distinctiveness, collectability, universality, and permanence satisfies biometric characteristic. A new method for fingerprint detection and recognition based geometrical features extraction such as curvature of lines has been presented. The process in this paper passes through pre­processing phase by using same images size. Active contour model (ACM) of Euclidean distance transformation used to detect the fingerprint edges. The median filter was applied in order to image enhancement and denoising after converting the image into the binary system. After then, Sobel edge detection makes some enhancement on the images and extract the features of images. Finally, classified the feature extracted by using absolute error distance and nearest neighbor. This method proved by results that the proposed algorithm shows the accuracy and efficiency almost 97%.
  • Telemedicine medical image compression based on ROI (A case study of Spine medical images)
    Journal of Global Pharma Technology, 2018
  • 3DMM fitting for 3D face reconstruction
    Journal of Engineering and Applied Sciences, 2018

RECENT SCHOLAR PUBLICATIONS

  • Performance Assessment of the Deep Learning Weed Reorganization System
    AA Mosslah, RH Mahdi, HK Albahadily
    2025.0
  • Performance Evaluation Of The Deep Learning System For Weed Recognization
    AA Mosslah, RH Mahdi, SM Al-Barzinji
    2023.0
  • Performance Evaluation Of The Deep Learning System For Weed
    A Mosslah, R Mahdi, S Al-Barzinji
    2023.0
  • PARTIAL IMAGE ENCRYPTION USING DCT IMAGE-BASED DES ALGORITHM
    SM Al-Barzinji, RHM Abd Abrahim Mosslah
    Journal of Southwest Jiaotong University 58 (1) , 2023
    2023.0
  • Automatic panoramic medical image stitching improvement based on feature-based approach
    MG Alwan, SM AL-Brazinji
    Periodicals of Engineering and Natural Sciences 10 (2), 155-163 , 2022
    2022.0
    Citations: 9
  • Performance Evaluation for Face Database
    ATH Alrawi, AA Mosslah, MG Alwan
    Journal of Southwest Jiaotong University 55 (1) , 2020
    2020.0
    Citations: 2
  • Brain computer interface for biometric authentication by recording signa
    AA Mosslah, RH Mahdi, SM Al-Barzinji
    The International Journal of Multimedia & Its Applications (IJMA) Vol 11 , 2019
    2019.0
    Citations: 5
  • Biometrics detection and recognition based-on geometrical features extraction
    AS Abdulbaqi, RH Mahdi
    2018 International Conference on Advance of Sustainable Engineering and its … , 2018
    2018.0
    Citations: 12
  • Telemedicine Medical Image Compression based on ROI (A Case Study of Spine Medical Images)
    AA Mosslah
    Journal of Global Pharma Technology, 7 , 2018
    2018.0
    Citations: 2
  • A Study of Accuracy of Data Mining Algorithms in Diagnosis of Emphysema Disease (EmD)
    AA Mosslah
    Diyala Journal For Pure Sciences 2 (2), 16 , 2018
    2018.0
  • RSS Healthcare Quality Management In Cloud Computingpapers
    RHM Azmi shawkat abdulbaqi Abd Abrahim Mosslah
    The International Journal of Engineering and Science (IJES) 7 (Issue || 5 … , 2018
    2018.0
  • 3DM Fitting for Face Reconstruction
    AA Mosslah
    Medwell Journals, 2018 ISSN: 1816-949X 13 (24), 10482-10489 , 2018
    2018.0
    Citations: 2
  • Performance Analysis ECG Signals Noise Removal Techniques: A Review
    RHMMGA Abd Abrahim Mosslah
    IOSR Journal of Computer Engineering (IOSR-JCE) 20 (Issue 6, Ver. II), 4 , 2017
    2017.0
  • A proposed system for real-time early warning for building fire detection based on embedded XBee-PRO RF modules with data accuracy appropriation
    AS Abdulbaqi, AA Mosslah, RH Mahdi
    Journal of Information, Communication and Intelligence Systems (JICIS) 2 (2 … , 2016
    2016.0
    Citations: 5
  • Hybrid Proposed Model for Automatic License Plate Recognition and Distinction (ALPRD)
    AS Abdulbaki, AA Mosslah
    Iraqi Journal of Information Technology 7 (2), 35-44 , 2016
    2016.0
    Citations: 1
  • Removing the effect light from image and human face detection
    AA Mosslah
    J. of University of Anbar for pure science 8 (1), 6 , 2014
    2014.0
  • Human Face Detection and Tracking By using Skin Color Molding and Component Operators Connecting
    ALA Abd Abrahim Mosslah
    Ministry of Higher Education , 2006
    2006.0
  • Efficient JPEG-LS for Lossless Compression of Rib Cage with Visual Quality Preservation
    RHM Abd Abrahim Mosslah, HK Abrahem
  • TCDR based on Efficiency and Accuracy of the Intelligent Systems
    AS Abdulbaqi, AA Mosslah, RH Mahdi

MOST CITED SCHOLAR PUBLICATIONS

  • Biometrics detection and recognition based-on geometrical features extraction
    AS Abdulbaqi, RH Mahdi
    2018 International Conference on Advance of Sustainable Engineering and its … , 2018
    2018.0
    Citations: 12
  • Automatic panoramic medical image stitching improvement based on feature-based approach
    MG Alwan, SM AL-Brazinji
    Periodicals of Engineering and Natural Sciences 10 (2), 155-163 , 2022
    2022.0
    Citations: 9
  • Brain computer interface for biometric authentication by recording signa
    AA Mosslah, RH Mahdi, SM Al-Barzinji
    The International Journal of Multimedia & Its Applications (IJMA) Vol 11 , 2019
    2019.0
    Citations: 5
  • A proposed system for real-time early warning for building fire detection based on embedded XBee-PRO RF modules with data accuracy appropriation
    AS Abdulbaqi, AA Mosslah, RH Mahdi
    Journal of Information, Communication and Intelligence Systems (JICIS) 2 (2 … , 2016
    2016.0
    Citations: 5
  • Performance Evaluation for Face Database
    ATH Alrawi, AA Mosslah, MG Alwan
    Journal of Southwest Jiaotong University 55 (1) , 2020
    2020.0
    Citations: 2
  • Telemedicine Medical Image Compression based on ROI (A Case Study of Spine Medical Images)
    AA Mosslah
    Journal of Global Pharma Technology, 7 , 2018
    2018.0
    Citations: 2
  • 3DM Fitting for Face Reconstruction
    AA Mosslah
    Medwell Journals, 2018 ISSN: 1816-949X 13 (24), 10482-10489 , 2018
    2018.0
    Citations: 2
  • Hybrid Proposed Model for Automatic License Plate Recognition and Distinction (ALPRD)
    AS Abdulbaki, AA Mosslah
    Iraqi Journal of Information Technology 7 (2), 35-44 , 2016
    2016.0
    Citations: 1
  • Performance Assessment of the Deep Learning Weed Reorganization System
    AA Mosslah, RH Mahdi, HK Albahadily
    2025.0
  • Performance Evaluation Of The Deep Learning System For Weed Recognization
    AA Mosslah, RH Mahdi, SM Al-Barzinji
    2023.0
  • Performance Evaluation Of The Deep Learning System For Weed
    A Mosslah, R Mahdi, S Al-Barzinji
    2023.0
  • PARTIAL IMAGE ENCRYPTION USING DCT IMAGE-BASED DES ALGORITHM
    SM Al-Barzinji, RHM Abd Abrahim Mosslah
    Journal of Southwest Jiaotong University 58 (1) , 2023
    2023.0
  • A Study of Accuracy of Data Mining Algorithms in Diagnosis of Emphysema Disease (EmD)
    AA Mosslah
    Diyala Journal For Pure Sciences 2 (2), 16 , 2018
    2018.0
  • RSS Healthcare Quality Management In Cloud Computingpapers
    RHM Azmi shawkat abdulbaqi Abd Abrahim Mosslah
    The International Journal of Engineering and Science (IJES) 7 (Issue || 5 … , 2018
    2018.0
  • Performance Analysis ECG Signals Noise Removal Techniques: A Review
    RHMMGA Abd Abrahim Mosslah
    IOSR Journal of Computer Engineering (IOSR-JCE) 20 (Issue 6, Ver. II), 4 , 2017
    2017.0
  • Removing the effect light from image and human face detection
    AA Mosslah
    J. of University of Anbar for pure science 8 (1), 6 , 2014
    2014.0
  • Human Face Detection and Tracking By using Skin Color Molding and Component Operators Connecting
    ALA Abd Abrahim Mosslah
    Ministry of Higher Education , 2006
    2006.0
  • Efficient JPEG-LS for Lossless Compression of Rib Cage with Visual Quality Preservation
    RHM Abd Abrahim Mosslah, HK Abrahem
  • TCDR based on Efficiency and Accuracy of the Intelligent Systems
    AS Abdulbaqi, AA Mosslah, RH Mahdi