In terms of music genre classification, neural networks and machinelearning models have their respective advantages. This paper aims to compare the performance and feature extraction capability between neural network...
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Reinforcement learning is one of the paradigms and methodologies of machinelearning, which is used to describe and solve problems in which agents learn strategies to maximize rewards or achieve specific goals in the ...
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To enable mobile robots to perform different tasks intelligently and autonomously in different work scenarios, we usually use SLAM to achieve simultaneous localization and map building of the robot mainly using to com...
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This paper uses the machine vision method to identify the skirt module. We have constructed three kinds of machine recognition models of skirt profile processing, structure analysis of style drawing, and size estimati...
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With the rapid development of the Internet of Things and the exploration of its application scenarios, embedded devices are deployed in various environments to collect information and data. In such environments, the s...
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Scene classification is a popular and important question in computer vision and has been developed in different areas. Applying computer vision to artworks has become a popular topic in recent years. However, the trad...
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In the process of auto parts products from manufacturing to quality inspection, it is inevitable that there will be defects on the surface due to aging of machine tools or human factors. How to better apply computer v...
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Abstractive text summarization is an important research field in natural language learning. Compared with the extracted text summary, it is more in line with the preparation steps of the manual summary. In traditional...
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Plant diseases may have a major impact on food safety, also a considerable decline in agricultural product output. The great majority of automated systems developed thus far are based on digital pictures, allowing for...
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Mobile Edge Computing (MEC) provides cloud computing capabilities within the access network, which can offer better service combined with applications those need ultra-low latency and large calculation. In this paper,...
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ISBN:
(纸本)9781509063529
Mobile Edge Computing (MEC) provides cloud computing capabilities within the access network, which can offer better service combined with applications those need ultra-low latency and large calculation. In this paper, we discuss the detection and recognition models in different scenarios and develop the video analysis application with fusion model to improve the recognition accuracy based on the MEC platform-WiCloud. Test and verify the application's performance in the service environment with low latency and high-bandwidth provided by the WiCloud.
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