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Article
Federated few-shot learning for cough classification with edge devices
Automatically classifying cough sounds is one of the most critical tasks for the diagnosis and treatment of respiratory diseases. However, collecting a huge amount of labeled cough dataset is challenging mainl...
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Article
Masked face recognition with convolutional neural networks and local binary patterns
Face recognition is one of the most common biometric authentication methods as its feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically spreading throughout the world, which seriou...
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Article
Incremental Learning for Autonomous Navigation of Mobile Robots based on Deep Reinforcement Learning
This paper presents an incremental learning method and system for autonomous robot navigation. The range finder laser sensor and online deep reinforcement learning are utilized for generating the navigation po...