Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Cunjia Liu"'
Autor:
Cunjia Liu
Publikováno v:
BMC Psychiatry, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and rel
Externí odkaz:
https://doaj.org/article/2ddbddcc1b4645f18e4acc8ac70c968c
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 3, Pp 987-1001 (2023)
Abstract The binocular stereo vision is the lowest cost sensor for obtaining 3D information. Considering the weakness of long‐distance measurement and stability, the improvement of accuracy and stability of stereo vision is urgently required for ap
Externí odkaz:
https://doaj.org/article/b70532b84e5d4506b238191cdb0b1896
Autor:
Jincheng Hu, Jihao Li, Zhuoran Hou, Jingjing Jiang, Cunjia Liu, Liang Chu, Yanjun Huang, Yuanjian Zhang
Publikováno v:
iScience, Vol 26, Iss 9, Pp 107393- (2023)
Summary: Severe weather conditions pose a significant challenge for computer vision algorithms in autonomous driving applications, particularly regarding robustness. Image rain-removal algorithms have emerged as a potential solution by leveraging the
Externí odkaz:
https://doaj.org/article/b944c249f1fc4b7681db160559fcbca5
Publikováno v:
Insects, Vol 14, Iss 3, p 280 (2023)
In recent years, the occurrence of rice pests has been increasing, which has greatly affected the yield of rice in many parts of the world. The prevention and cure of rice pests is urgent. Aiming at the problems of the small appearance difference and
Externí odkaz:
https://doaj.org/article/d9466333ab7a4f57910bfc54f589637c
Autor:
Yanhua Meng, Wanqiang Zhong, Cunjia Liu, Jinya Su, Jiyuan Su, Yubin Lan, Zhiguo Wang, Meimei Wang
Publikováno v:
PeerJ, Vol 10, p e13064 (2022)
Adding tank-mix adjuvants into the spray mixture is a common practice to improve droplet distribution for field crops (e.g., rice, wheat, corn, etc.) when using Unmanned Aerial Vehicle (UAV) sprayers. However, the effectiveness of tank-mix adjuvant f
Externí odkaz:
https://doaj.org/article/029a802977b24db2bc602b9c08f20e73
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 782 (2022)
Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in investigating crop disease overwintering for smart agriculture management. This work investigates snow coverage mapping by learning from Sentinel-2 s
Externí odkaz:
https://doaj.org/article/4ba44bce6af541ba802718a5f4e5c17c
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3892 (2021)
Crop disease is widely considered as one of the most pressing challenges for food crops, and therefore an accurate crop disease detection algorithm is highly desirable for its sustainable management. The recent use of remote sensing and deep learning
Externí odkaz:
https://doaj.org/article/0d87067dcbac468397ac49cd032a1539
Publikováno v:
Sensors, Vol 18, Iss 7, p 2132 (2018)
In this paper, a new method for planning coverage paths for fixed-wing Unmanned Aerial Vehicle (UAV) aerial surveys is proposed. Instead of the more generic coverage path planning techniques presented in previous literature, this method specifically
Externí odkaz:
https://doaj.org/article/1e35a22c9573412eab6870cdf19217ab
Publikováno v:
Sensors, Vol 17, Iss 12, p 2726 (2017)
Hyperspectral images (HSI) provide rich information which may not be captured by other sensing technologies and therefore gradually find a wide range of applications. However, they also generate a large amount of irrelevant or redundant data for a sp
Externí odkaz:
https://doaj.org/article/50058157d5834d1f899a6799cbe9ec85
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6ecb04ea7458e9df84746d47df059bf
https://doi.org/10.1109/tase.2023.3260874
https://doi.org/10.1109/tase.2023.3260874