Publications by authors named "Xieguang Zhao"

Article Synopsis
  • Scientists made a better version of a computer program called YOLOX_S that helps cars detect other vehicles better, especially small ones at a distance.
  • They changed parts of the program to make it faster and to pay more attention to small targets so that the computer can find them more easily.
  • Tests showed that this new program is more accurate than the old one, finding 77.19% of the vehicles, but it still needs to get faster to work perfectly in real life.
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Coal mining professionals in coal mining have recognized that the assessment of top coal release rate can not only improve the recovery rate of top coal, but also improve the quality of coal. But the process was often performed using a manual-based operation mode, which intensifies workload and difficulty, and is at risk of human errors. The study designs a assessment system to give the caving output ratio in top coal caving as accurately as possible based on the parameters adaptive Takagi-Sugeno (T-S) fuzzy system and the Levenberg-Marquardt (LM) algorithm.

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Top-coal caving technology is a productive and efficient method in modern mechanized coal mining, the study of coal-rock recognition is key to realizing automation in comprehensive mechanized coal mining. In this paper we propose a new discriminant analysis framework for coal-rock recognition. In the framework, a data acquisition model with vibration and acoustic signals is designed and the caving dataset with 10 feature variables and three classes is got.

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