Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Yili REN"'
Autor:
He LIU, Yili REN, Xin LI, Yue DENG, Yongtao WANG, Qianwen CAO, Jinyang DU, Zhiwei LIN, Wenjie WANG
Publikováno v:
Petroleum Exploration and Development, Vol 51, Iss 4, Pp 1049-1065 (2024)
This article elucidates the concept of large model technology, summarizes the research status of large model technology both domestically and internationally, provides an overview of the application status of large models in vertical industries, outl
Externí odkaz:
https://doaj.org/article/8d586386df74454faacb406b7a55b66b
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7755 (2024)
On public benchmarks, current macro facial expression recognition technologies have achieved significant success. However, in real-life scenarios, individuals may attempt to conceal their true emotions. Conventional expression recognition often overl
Externí odkaz:
https://doaj.org/article/9dfe14f9c0d143f4a8301b2d89a943d9
Publikováno v:
Petroleum Exploration and Development, Vol 48, Iss 1, Pp 1-14 (2021)
Aiming at the actual demands of petroleum exploration and development, this paper describes the research progress and application of artificial intelligence (AI) in petroleum exploration and development, and discusses the applications and development
Externí odkaz:
https://doaj.org/article/0a23906001dd40bebf3b30ab97d83f9a
Publikováno v:
IEEE Internet of Things Journal. 9:17832-17843
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6efc40f8b485e01ad43d92b430718c2f
https://doi.org/10.1109/jiot.2022.3164569
https://doi.org/10.1109/jiot.2022.3164569
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-25
This paper presents GoPose, a 3D skeleton-based human pose estimation system that uses WiFi devices at home. Our system leverages the WiFi signals reflected off the human body for 3D pose estimation. In contrast to prior systems that need specialized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9ccba67542d15b315fc4cb7c7cf9ff9
https://doi.org/10.1145/3534605
https://doi.org/10.1145/3534605
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-24
Earables (ear wearables) are rapidly emerging as a new platform encompassing a diverse range of personal applications. The traditional authentication methods hence become less applicable and inconvenient for earables due to their limited input interf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4055e08647be1228647ed30bfb804f2e
https://doi.org/10.1145/3534606
https://doi.org/10.1145/3534606
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5:1-29
WiFi human sensing has become increasingly attractive in enabling emerging human-computer interaction applications. The corresponding technique has gradually evolved from the classification of multiple activity types to more fine-grained tracking of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e33054a39c94e52783dc5f82e7b5fcf5
https://doi.org/10.1145/3494973
https://doi.org/10.1145/3494973
Publikováno v:
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aae1ff61bf58aa280eddc9f98625bf6
https://doi.org/10.1145/3548606.3563516
https://doi.org/10.1145/3548606.3563516
Publikováno v:
Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da97bba85d61c7940ba7d3cee88b698d
https://doi.org/10.1145/3560905.3568536
https://doi.org/10.1145/3560905.3568536
Publikováno v:
Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dfdd8ee46e607604cb769e6ea7cc4bb
https://doi.org/10.1145/3560905.3568068
https://doi.org/10.1145/3560905.3568068