Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jinxin Bai"'
Autor:
Zhengyu Luo, Hongrui Han, Hui Yao, Guoru Yan, Jinxin Bai, Lihao Shi, Xiangjun Pei, Jingji Li, Qiang Li
Publikováno v:
Plants, Vol 13, Iss 23, p 3307 (2024)
The granite rubble soil produced through excavation during construction is nutrient-poor and has a simplified microbial community, making it difficult for plants to grow and increasing the challenges of ecological restoration. Recent studies have dem
Externí odkaz:
https://doaj.org/article/9dce483c00e94aaf8eb53ca66bff5b57
Autor:
Jinxin Bai, Zhongjie Meng
Publikováno v:
Aerospace, Vol 11, Iss 10, p 845 (2024)
In the realm of autonomous aerial refueling missions for unmanned aerial vehicles (UAVs), the controllable drogue represents a novel approach that significantly enhances both the safety and efficiency of aerial refueling operations. This paper delves
Externí odkaz:
https://doaj.org/article/344ce67cccbf47689d71237afb6bfff9
Publikováno v:
PeerJ Computer Science, Vol 10, p e2083 (2024)
Aiming to automatically monitor and improve stereoscopic image and video processing systems, stereoscopic image quality assessment approaches are becoming more and more important as 3D technology gains popularity. We propose a full-reference stereosc
Externí odkaz:
https://doaj.org/article/c9db083ed19e4696b9fddc15415021a7
Autor:
Jinxin Bai, Zhongjie Meng
Publikováno v:
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe59c193f0033f09f2b2da55b8bf390
https://doi.org/10.1109/iciea54703.2022.10006048
https://doi.org/10.1109/iciea54703.2022.10006048
Publikováno v:
2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de920fa0276457c43482944a1c80dd1d
https://doi.org/10.1109/fcsit57414.2022.00055
https://doi.org/10.1109/fcsit57414.2022.00055
Autor:
Jinxin Bai, Zhijie Ban
Publikováno v:
ICMLC
Collaborative filtering is widely used in recommendation systems. Hybrid approach has been proposed since the collaborative-based method is susceptible to problems such as sparsity and cold start. Recently, the related methods have pointed out that i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef30e9129abc8683d6e8bf4184407c47
https://doi.org/10.1145/3318299.3318336
https://doi.org/10.1145/3318299.3318336