Abstract: This study explores how combining the YOLOv10 artificial intelligence model with data visualization technology can improve the speed and accuracy of sorting and delivering packages in ...
Abstract: The fundamental requirement of time-series activity detection that uses wearable sensors spreads across healthcare monitoring alongside fitness tracking and smart environments applications.
Abstract: In India, countless children are reported missing every year, with a significant percentage remaining untraced due to challenges in identification and limited resources. This project ...
In this paper, a novel approach is proposed for early recognition of Radar Work Mode, which integrates a hybrid CNN-Transformer architecture and a Reinforcement Learning strategy. The model processes ...
Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...
Abstract: Convolutional neural networks (CNNs) are widely applied in fault diagnosis due to their excellent ability to extract local features and process complex data. However, the decision-making and ...
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