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    Article

    A review of video-based human activity recognition: theory, methods and applications

    Video-based human activity recognition (HAR) is an important task in many fields, such as healthcare monitoring, video surveillance, and sports analysis. This review paper aims to give an in-depth look at the ...

    Tanvir Fatima Naik Bukht, Hameedur Rahman in Multimedia Tools and Applications (2024)

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    Article

    Empowering e-learning approach by the use of federated edge computing

    Federated learning (FL) is a decentralized approach to training machine learning model. In the traditional architecture, the training requires getting the whole data what causes a threat to the privacy of the ...

    Nouha Arfaoui, Amel Ksibi, Nouf Abdullah Almujally, Ridha Ejbali in Cluster Computing (2024)

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    Article

    Selective feature-based ovarian cancer prediction using MobileNet and explainable AI to manage women healthcare

    Ovarian cancer is a global health concern due to the unavailability of an effective screening strategy and is often diagnosed at a late stage with approximately 70% of the case which reduces the survival chanc...

    Nouf Abdullah Almujally, Abdulrahman Alzahrani in Multimedia Tools and Applications (2024)

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    Open Access

    BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification

    A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification. Radiologists could reliably detect tumors using machine learning algorithms without extensive surge...

    Muhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally in Scientific Reports (2024)