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A Novel Approach for Extracting Key Information from Vietnamese Prescription Images., , , , , и . SoICT, стр. 539-545. ACM, (2023)SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning., , , , , и . candar, стр. 120-126. IEEE, (2023)Image-Based Contextual Pill Recognition with Medical Knowledge Graph Assistance., , , , и . ACIIDS (Companion), том 1716 из Communications in Computer and Information Science, стр. 354-369. Springer, (2022)FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection., , , , , , и . IJCNN, стр. 1-10. IEEE, (2023)Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks., , , , и . IET Comput. Vis., 13 (3): 319-328 (2019)GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices., , , , , и . Eng. Appl. Artif. Intell., (2024)Real-Time Obstacle Detection System in Indoor Environment for the Visually Impaired Using Microsoft Kinect Sensor., , и . J. Sensors, (2016)Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning., , и . CoRR, (2023)FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning., , , , , , , и . ICPP, стр. 73:1-73:11. ACM, (2022)A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning., , , , , и . PRICAI (1), том 13629 из Lecture Notes in Computer Science, стр. 261-274. Springer, (2022)