Abstract: Near-sensor diagnosis has become increasingly prevalent in industry. This study proposes a lightweight model named LD-RPMNet that integrates Transformers and Convolutional Neural Networks, ...
Real-Time Anomaly Detection in IoMT Networks Using Stacking Model and a Healthcare- Specific Dataset
Abstract: The Internet of Medical Things (IoMT) connects medical devices to enable real-time monitoring and personalized care, significantly enhancing patient health and well-being. However, this ...
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