Search Results - "Zebari, Dilovan Asaad"

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  1. 1

    Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images by Zebari, Dilovan Asaad, Zeebaree, Diyar Qader, Abdulazeez, Adnan Mohsin, Haron, Habibollah, Hamed, Haza Nuzly Abdull

    Published in IEEE access (2020)
    “…Segmentation of the breast region and pectoral muscle are fundamental subsequent steps in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the…”
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    Journal Article
  2. 2

    A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces by Mostafa, Salama A., Ravi, Sharran, Asaad Zebari, Dilovan, Asaad Zebari, Nechirvan, Abed Mohammed, Mazin, Nedoma, Jan, Martinek, Radek, Deveci, Muhammet, Ding, Weiping

    Published in Information sciences (01-08-2024)
    “…Automating face mask detection in public areas is paramount to maintaining public health, especially in the context of the COVID-19 pandemic. Utilization of…”
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    Journal Article
  3. 3

    Effective hybrid deep learning model for COVID‐19 patterns identification using CT images by Ibrahim, Dheyaa Ahmed, Zebari, Dilovan Asaad, Mohammed, Hussam J., Mohammed, Mazin Abed

    Published in Expert systems (01-12-2022)
    “…Coronavirus disease 2019 (COVID‐19) has attracted significant attention of researchers from various disciplines since the end of 2019. Although the global…”
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    Journal Article
  4. 4

    Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images by Zebari, Dilovan Asaad, Ibrahim, Dheyaa Ahmed, Zeebaree, Diyar Qader, Haron, Habibollah, Salih, Merdin Shamal, Damaševičius, Robertas, Mohammed, Mazin Abed

    Published in Applied artificial intelligence (15-12-2021)
    “…Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality from breast cancer could be reduced by diagnosing and identifying it…”
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    Journal Article
  5. 5

    Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion by Zebari, Dilovan Asaad, Ibrahim, Dheyaa Ahmed, Zeebaree, Diyar Qader, Mohammed, Mazin Abed, Haron, Habibollah, Zebari, Nechirvan Asaad, Damaševičius, Robertas, Maskeliūnas, Rytis

    Published in Applied sciences (01-12-2021)
    “…Breast cancer detection using mammogram images at an early stage is an important step in disease diagnostics. We propose a new method for the classification of…”
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    Journal Article
  6. 6

    Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN by Kapoor, Nishant Raj, Kumar, Ashok, Kumar, Anuj, Zebari, Dilovan Asaad, Kumar, Krishna, Mohammed, Mazin Abed, Al-Waisy, Alaa S, Albahar, Marwan Ali

    “…The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to study the transmission probability in mixed-mode ventilated office…”
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    Journal Article
  7. 7

    Augmented IoT Cooperative Vehicular Framework Based on Distributed Deep Blockchain Networks by Lakhan, Abdullah, Mohammed, Mazin Abed, Zebari, Dilovan Asaad, Abdulkareem, Karrar Hameed, Deveci, Muhammet, Marhoon, Haydar Abdulameer, Nedoma, Jan, Martinek, Radek

    Published in IEEE internet of things journal (15-11-2024)
    “…This article presents the Augmented Internet of Things (AIoT) framework for cooperatively distributed deep blockchain-assisted vehicle networks. AIoT framework…”
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    Journal Article
  8. 8

    Identifying defective solar cells in electroluminescence images using deep feature representations by Al-Waisy, Alaa S, Ibrahim, Dheyaa, Zebari, Dilovan Asaad, Hammadi, Shumoos, Mohammed, Hussam, Mohammed, Mazin Abed, Damaševičius, Robertas

    Published in PeerJ. Computer science (19-05-2022)
    “…Electroluminescence (EL) imaging is a technique for acquiring images of photovoltaic (PV) modules and examining them for surface defects. Analysis of EL images…”
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    Journal Article
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    A Framework for Susceptibility Analysis of Brain Tumours Based on Uncertain Analytical Cum Algorithmic Modeling by Ur Rahman, Atiqe, Saeed, Muhammad, Saeed, Muhammad Haris, Zebari, Dilovan Asaad, Albahar, Marwan, Abdulkareem, Karrar Hameed, Al-Waisy, Alaa S, Mohammed, Mazin Abed

    Published in Bioengineering (Basel) (22-01-2023)
    “…Susceptibility analysis is an intelligent technique that not only assists decision makers in assessing the suspected severity of any sort of brain tumour in a…”
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    Journal Article
  11. 11

    A Meta-Heuristic Method for Reassemble Bifragmented Intertwined JPEG Image Files in Digital Forensic Investigation by Ali, Rabei Raad, Mohamad, Kamaruddin Malik Bin, Mostafa, Salama A., Zebari, Dilovan Asaad, Jubair, Mohammed Ahmed, Alouane, M. Turki-Hadj

    Published in IEEE access (2023)
    “…Traditional image recovery from corrupted file systems plays a significant role in Digital Forensics investigation. The images are mainly considered objective…”
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    Journal Article
  12. 12

    ReID-DeePNet: A Hybrid Deep Learning System for Person Re-Identification by Mohammed, Hussam J., Al-Fahdawi, Shumoos, Al-Waisy, Alaa S., Zebari, Dilovan Asaad, Ibrahim, Dheyaa Ahmed, Mohammed, Mazin Abed, Kadry, Seifedine, Kim, Jungeun

    Published in Mathematics (Basel) (01-10-2022)
    “…Person re-identification has become an essential application within computer vision due to its ability to match the same person over non-overlapping cameras…”
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    Journal Article
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    The Assessment of Medication Effects in Omicron Patients through MADM Approach Based on Distance Measures of Interval-Valued Fuzzy Hypersoft Set by Arshad, Muhammad, Saeed, Muhammad, Rahman, Atiqe Ur, Zebari, Dilovan Asaad, Mohammed, Mazin Abed, Al-Waisy, Alaa S., Albahar, Marwan, Thanoon, Mohammed

    Published in Bioengineering (Basel) (17-11-2022)
    “…Omicron, so-called COVID-2, is an emerging variant of COVID-19 which is proved to be the most fatal amongst the other variants such as alpha, beta and gamma…”
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    Journal Article
  15. 15

    Optimized Downlink Scheduling over LTE Network Based on Artificial Neural Network by Ahmed, Falah Y. H., Masli, Amal Abulgasim, Khassawneh, Bashar, Yousif, Jabar H., Zebari, Dilovan Asaad

    Published in Computers (Basel) (01-09-2023)
    “…Long-Term Evolution (LTE) technology is utilized efficiently for wireless broadband communication for mobile devices. It provides flexible bandwidth and…”
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    Journal Article
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    Automated Detection of Covid-19 from X-ray Using SVM by Zebari, Dilovan Asaad, Sulaiman, Dawlat Mustafa, Sadiq, Shereen Saleem, Zebari, Nechirvan Asaad, Salih, Merdin Shamal

    “…Earlier discovery of COVID-19 through precise diagnosis, particularly in instances with no evident symptoms, may reduce the mortality rate of patients. Chest…”
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    Conference Proceeding
  18. 18

    Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm by Qian, Leren, Bai, Jiexin, Huang, Yiqian, Zeebaree, Diyar Qader, Saffari, Abbas, Zebari, Dilovan Asaad

    Published in Biomedical signal processing and control (01-01-2024)
    “…•Breast cancer diagnosis using evolving deep convolutional neural network.•Evolution of ZFNet network using extreme learning machine for breast cancer…”
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    Journal Article
  19. 19

    An Integrated Gapso Approach for Solving Problem of an Examination Timetabiking System by Jahwar, Alan Fuad, Mohsin Abdulazeez, Adnan, Zeebaree, Diyar Qader, Asaad Zebari, Dilovan, Ahmed, Falah Y. H.

    “…Examination timetabling is a discrete, multi-objective and combinatorial optimization problem which tends to be solved with a cooperation of stochastic search…”
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    Conference Proceeding
  20. 20

    Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology by Mohammed, Mazin Abed, Lakhan, Abdullah, Zebari, Dilovan Asaad, Ghani, Mohd Khanapi Abd, Marhoon, Haydar Abdulameer, Abdulkareem, Karrar Hameed, Nedoma, Jan, Martinek, Radek

    “…Industrial cyber–physical systems (ICPS) are emerging platforms for various industrial applications. For instance, remote healthcare monitoring, real-time…”
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    Journal Article