Zhencai Zhu

May 24, 2024 | mdpi.com | Ying Li |Zhencai Zhu |Xiaoqiang Li

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Apr 23, 2024 | preprints.org | Ying Li |Zhencai Zhu |Xiaoqiang Li

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 20 April 2024 / Approved: 23 April 2024 / Online: 23 April 2024 (10:07:13 CEST) Li, Y.; Zhu, Z.; Li, X. Reinforcement Learning Based Speed Control with Creep Rate Constraints for Autonomous Driving of Mining Electric Locomotives. Preprints 2024, 2024041512. https://doi.org/10.20944/preprints202404.1512.v1 Li, Y.; Zhu, Z.; Li, X.

Mar 5, 2024 | tandfonline.com | Juan Chen |Lin Qiu |Zhencai Zhu |Ning Sun

?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. AbstractAccording to the infrared patch image (IPI) model theory, the infrared image background has a low rank and the target is sparse. The low-rank model can be used to separate the background and identify the target.

Aug 1, 2023 | mdpi.com | Juan Chen |Lin Qiu |Zhencai Zhu |Ning Sun

Abstract:Space vehicles such as missiles and aircraft have relatively long tracking distances. Infrared (IR) detectors are used for small target detection. The target presents point target characteristics, which lack contour, shape, and texture information. The high-brightness cloud edge and high noise have an impact on the detection of small targets because of the complex background of the sky and ground environment.