Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ding Weikang"'
Autor:
Zhou, Ce, Yan, Qiben, Kent, Daniel, Wang, Guangjing, Ding, Weikang, Zhang, Ziqi, Radha, Hayder
Monocular Depth Estimation (MDE) is a pivotal component of vision-based Autonomous Driving (AD) systems, enabling vehicles to estimate the depth of surrounding objects using a single camera image. This estimation guides essential driving decisions, s
Externí odkaz:
http://arxiv.org/abs/2411.00192
Autor:
Wang, Guangjing, Wang, Juexing, Zhou, Ce, Ding, Weikang, Zeng, Huacheng, Li, Tianxing, Yan, Qiben
Expression recognition holds great promise for applications such as content recommendation and mental healthcare by accurately detecting users' emotional states. Traditional methods often rely on cameras or wearable sensors, which raise privacy conce
Externí odkaz:
http://arxiv.org/abs/2410.12811
Autor:
Li, Yuanyuan, Tu, Qian, Liu, Shiqiu, Ding, Weikang, Min, Xuwu, Zhou, Shubo, Zhang, Jiarui, Li, Junjun, Yuan, Chunlong
Publikováno v:
In Scientia Horticulturae 1 October 2024 336
Publikováno v:
Shipin Kexue, Vol 45, Iss 5, Pp 149-157 (2024)
In order to study the effect of applying different proportions of compost made from grape branches in the vineyard on the quality of wine, 8-year-old ‘Pinot Noir’ grapevine was selected for this study, and compost made from 100% crushed grape bra
Externí odkaz:
https://doaj.org/article/377eddf3a7de4e98baace0a3576320f3
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
This paper proposes a new gesture recognition system based on Deep Neural Network (DNN) and Leap Motion. The palm model is reconstructed to obtain the feature data, and then the feature data of all experimenters are obtained by the Leap Motion contro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52e9b2125a255bc47020687ded72ae8f
https://doi.org/10.1109/ccdc49329.2020.9164723
https://doi.org/10.1109/ccdc49329.2020.9164723
Akademický článek
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Publikováno v:
Electronics
Volume 7
Issue 11
Electronics, Vol 7, Iss 11, p 326 (2018)
Volume 7
Issue 11
Electronics, Vol 7, Iss 11, p 326 (2018)
Considering that a majority of the traditional one-dimensional discrete chaotic maps have disadvantages including a relatively narrow chaotic range, smaller Lyapunov exponents, and excessive periodic windows, a new nonlinearly modulated Logistic map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5793bc71b1b16d618efc70b1858a5a10
Publikováno v:
Entropy, Vol 20, Iss 6, p 463 (2018)
Entropy
Volume 20
Issue 6
Entropy
Volume 20
Issue 6
With the popularity of the Internet, the transmission of images has become more frequent. It is of great significance to study efficient and secure image encryption algorithms. Based on traditional Logistic maps and consideration of delay, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bee9451836ecf82c8c4a878fe3a4e2b2
http://www.mdpi.com/1099-4300/20/6/463
http://www.mdpi.com/1099-4300/20/6/463
Publikováno v:
Proceedings of SPIE; February 2022, Vol. 12083 Issue: 1 p120831T-120831T-10, 11962280p
Akademický článek
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