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On the Use of Deep Learning for Video Classification
منشور في 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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Cervical Cancer Classification Using Deep Learning Techniques
منشور في 2020احصل على النص الكامل
masterThesis -
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Detecting Mental Stress using EEG and Deep Learning
منشور في 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
منشور في 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
منشور في 2023"…Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …"
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Arabic Handwriting Recognition Using Deep Learning Neural Networks
منشور في 2020احصل على النص الكامل
masterThesis -
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LOW-MAGNITUDE SEISMIC DATA AUGMENTATION USING DEEP LEARNING
منشور في 2020احصل على النص الكامل
masterThesis -
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Automatic Arabic Check Processing Using Deep Learning Techniques
منشور في 2020احصل على النص الكامل
masterThesis -
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An efficient approach for textual data classification using deep learning
منشور في 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
منشور في 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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Arabic Dialect Speech-Text Recognition Using Deep Learning
منشور في 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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MICROGRID ENERGY MANAGEMENT USING DEEP Q-NETWORK REINFORCEMENT LEARNING
منشور في 2020احصل على النص الكامل
masterThesis -
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IMAGE FORGERY DETECTION USING FEATURE AND DEEP LEARNING BASED APPROACHES
منشور في 2020احصل على النص الكامل
masterThesis -
20
PASSIVE SEISMIC EVENT DETECTION IN THE GRONINGEN AREA USING DEEP LEARNING
منشور في 2020احصل على النص الكامل
masterThesis