Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Dayong Ye"'
Publikováno v:
Kidney & Blood Pressure Research, Vol 49, Iss 1, Pp 410-429 (2024)
Introduction: Vesicular transport (VT) has a complex relationship with tumor progression and immunity. But prognostic significance of VT in clear cell renal cell carcinoma (ccRCC) is unclear. Thus, we aimed to establish a prognostic model according t
Externí odkaz:
https://doaj.org/article/1ab8fb2d0a514a0eb2115a361231036c
Publikováno v:
Information, Vol 14, Iss 11, p 597 (2023)
Online food delivery services today are considered an essential service that gets significant attention worldwide. Many companies and individuals are involved in this field as it offers good income and numerous jobs to the community. In this research
Externí odkaz:
https://doaj.org/article/7c679db56151419d87780f1d1c1c9200
Autor:
Yupeng Shi, Dayong Ye
Publikováno v:
Mathematics, Vol 11, Iss 11, p 2518 (2023)
This paper revisits the problem of stability analyses for neural networks with time-varying delay. A composite-matrix-based integral inequality (CMBII) is presented, which takes the delay derivative into account. In this case, the coupling informatio
Externí odkaz:
https://doaj.org/article/c41ebc9984a640cc9e346587608c9176
Publikováno v:
IEEE Access, Vol 7, Pp 88718-88732 (2019)
Service selection is an important research problem in distributed service-based systems, which aims to select proper services to meet user requirements. A number of service selection approaches have been proposed in recent years. Most of them, howeve
Externí odkaz:
https://doaj.org/article/eb00407b2ae7447284215dbb810dc535
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:991-1005
Publikováno v:
ACM Computing Surveys; Aug2023, Vol. 55 Issue 8, p1-39, 39p
Publikováno v:
ACM Computing Surveys. 55:1-39
The outstanding performance of deep neural networks has promoted deep learning applications in a broad set of domains. However, the potential risks caused by adversarial samples have hindered the large-scale deployment of deep learning. In these scen
Publikováno v:
Artificial Intelligence Review. 56:7195-7236
Reinforcement learning (RL) is one of the most important branches of AI. Due to its capacity for self-adaption and decision-making in dynamic environments, reinforcement learning has been widely applied in multiple areas, such as healthcare, data mar
Advanced persistent threats (APTs) are one of today's major threats to cyber security. Highly determined attackers along with novel and evasive exfiltration techniques mean APT attacks elude most intrusion detection and prevention systems. The result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ccc1f04620037428c9c87160dd97b27
https://hdl.handle.net/10453/166904
https://hdl.handle.net/10453/166904
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783031286933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c085eac35300f2b649d9614b42b90923
https://doi.org/10.1007/978-3-031-28694-0_5
https://doi.org/10.1007/978-3-031-28694-0_5