Showing 161 - 180 results of 1,563 for search 'use ((data processing) OR (image processing))', query time: 0.09s Refine Results
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    Project leader’s interactive use of controls, team learning behaviour and IT project performance: the moderating role of process accountability by Asad Mir, Farzana

    Published 2023
    “…In addition, the relationship between the interactive use of project MCS and team learning behaviour is moderated by the organization’s emphasis on process accountability, with the effect being stronger under the conditions of higher emphasis on process accountability. …”
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  3. 163

    Using fuzzy reasoning to improve redundancy elimination for data deduplication in connected environments by Yakhni, Sylvana

    Published 2023
    “…In this study, we investigate data deduplication as a prominent pre-processing method that can be used and adapted to address such challenges. …”
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  4. 164

    Personalized Social Image Organization, Visualization, and Querying Tool Using Low- and High-Level Features by Ayoub, Issa

    Published 2016
    “…Our system consists of modular components for: i) feature extraction and representation (low-level and high-level), ii) partitional image clustering (initial clustering phase executed when the user first connects to the system), iii) incremental clustering (updating clusters produces in the previous phase by processing newly published images), iv) fast image querying (using features of cluster representatives), and v) personalized images/search results visualization (using various user-chosen cluster display techniques). …”
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  5. 165

    A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming by Shah Nazir (14779162)

    Published 2020
    “…Scientific programming play a significant role to overcome the existing issues and future problems involved in the management of large scale data in healthcare, such as by assisting in the processing of huge data volumes, complex system modelling, and sourcing derivations from healthcare data and simulations. …”
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    Medical data integration using HL7 standards for patient’s early identification by A. AlQudahl, Adi

    Published 2021
    “…Integration between information systems is critical, especially in the healthcare domain, since interoperability requirements are related to patients’ data confidentiality, safety, and satisfaction. The goal of this study is to propose a solution based on the integration between queue management solution (QMS) and the electronic medical records (EMR), using Health Level Seven (HL7) protocols and Extensible Markup Language (XML). …”
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    Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study by Fahad M. Alshagathrh (19365478)

    Published 2023
    “…<h3>Introduction</h3><p dir="ltr">Artificial Intelligence (AI) is widely used in medical studies to interpret imaging data and improve the efficiency of healthcare professionals. …”
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    Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models by Theng, Lau Wei

    Published 2022
    “…Pre-processing on the dataset is required to standardize the dataset by resizing the image into 224 * 224 pixels, convert into jpg format and augmentation. …”
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  14. 174

    Translation of atherosclerotic disease features onto healthy carotid ultrasound images using domain-to-domain translation by Hazrat Ali (421019)

    Published 2023
    “…Translation performance was evaluated using the measurement of wall thickness in original and generated images. …”
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    DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only by Mohammad Tariqul Islam (7854059)

    Published 2021
    “…In this article, we propose a novel deep learning architecture to predict if a person has diabetes or not from a photograph of his/her retina. Using a relatively small-sized dataset, we develop a multi-stage convolutional neural network (CNN)-based model DiaNet that can reach an accuracy level of over 84% on this task, and in doing so, successfully identifies the regions on the retina images that contribute to its decision-making process, as corroborated by the medical experts in the field. …”
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    Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array by Amran Hossain (570706)

    Published 2022
    “…<p dir="ltr">In this paper, proposes a microwave brain imaging system to detect brain tumors using a metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. …”
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