Showing 1 - 20 results of 533 for search 'using deep learning', query time: 0.07s Refine Results
  1. 1

    On the Use of Deep Learning for Video Classification by Atiq ur Rehman (14153391)

    Published 2023
    “…Specifically, the topic has gained more attention after the emergence of deep learning models as a successful tool for automatically classifying videos. …”
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    Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

    Published 2023
    “…A Master of Science thesis in Biomedical Engineering by Yara Badr entitled, “Detecting Mental Stress using EEG and Deep Learning”, submitted in April 2023. …”
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    doctoralThesis
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    Arabic Multimodal Emotion Recognition Using Deep Learning by Al Roken, Noora Mohammed Abdulla

    Published 2022
    “…A Master of Science thesis in Computer Engineering by Noora Mohammed Abdulla Al Roken entitled, “Arabic Multimodal Emotion Recognition Using Deep Learning”, submitted in May 2022. Thesis advisors are Dr. …”
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    doctoralThesis
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    Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

    Published 2023
    “…Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …”
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    An efficient approach for textual data classification using deep learning by Abdullah Alqahtani (7128143)

    Published 2022
    “…This paper employs machine and deep learning techniques to classify textual data. …”
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    Classifying Maqams of Qur'anic Recitations Using Deep Learning by Shahriar, Sakib

    Published 2021
    “…Technological advancement can be utilized for automatic classification of these melodies which can then be used by students for self-learning. Using state-of-the-art deep learning algorithms, this research focuses on the classification of the eight popular maqamat (plural of maqam). …”
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    article
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    Arabic Dialect Speech-Text Recognition Using Deep Learning by RAEIALBOOM, OMAR SALEH DARWISH

    Published 2024
    “…Traditional speech recognition models struggle in this domain, prompting an exploration of deep learning approaches, specifically the TestRCNN and Hybrid TestRCNN-CNN Models. …”
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