Zobrazeno 1 - 10
of 578
pro vyhledávání: '"LIANYONG QI"'
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 4, Pp 887-895 (2023)
Labeled data is widely used in various classification tasks. However, there is a huge challenge that labels are often added artificially. Wrong labels added by malicious users will affect the training effect of the model. The unreliability of labeled
Externí odkaz:
https://doaj.org/article/77e568733c134eb6afb00de1f98dc435
Autor:
Dharavath Ramesh, Rahul Mishra, Pradeep K. Atrey, Damodar Reddy Edla, Sanjay Misra, Lianyong Qi
Publikováno v:
Alexandria Engineering Journal, Vol 68, Iss , Pp 205-226 (2023)
In recent years, the rapid and wide-ranging implementation of a cloud-based electronic healthcare record (EHR) storage system has shown significant advantages in effectively managing EHR for healthcare organizations and patients. However, in the clou
Externí odkaz:
https://doaj.org/article/e13896d32d3740f5b7fc9e1d7c59c7ae
Autor:
Lianyong Qi
Publikováno v:
Intelligent and Converged Networks, Vol 4, Iss 2, Pp 93-95 (2023)
Externí odkaz:
https://doaj.org/article/46156831d7804e81a20f5069c89903c5
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Aug2024, Vol. 15 Issue 4, p1-17, 17p
Publikováno v:
IEEE Access, Vol 8, Pp 165010-165017 (2020)
With the advent of Internet of Health (IoH) age, traditional medical or healthy services are gradually migrating to the Web or Internet and have been producing a considerable amount of medical data associated with patients, doctors, medicine, medical
Externí odkaz:
https://doaj.org/article/b8f61f49e8584996aa06129813aeb43b
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-12 (2019)
Abstract Nowadays, recommender system has become one of the main tools to search for users’ interested papers. Since one paper often contains only a part of keywords that a user is interested in, recommender system returns a set of papers that sati
Externí odkaz:
https://doaj.org/article/6da65a4b055c4f2d81c82b58ca0ae4f7
Publikováno v:
IEEE Access, Vol 7, Pp 12058-12072 (2019)
The edge computing network refers to a new paradigm of edge-side big data computing networks, which integrates networks, computing, storage, and business core capabilities. It is close to users, the Internet of Things (IoT), or data source side. The
Externí odkaz:
https://doaj.org/article/cd50a7e82350427abaac5417b607ba44
Publikováno v:
IEEE Access, Vol 7, Pp 46637-46645 (2019)
Memory-based collaborative filtering (i.e., MCF) is regarded as an effective technique to recommend appropriate services to target users. However, if recommendation data are very sparse in the edge environment, traditional MCF-based recommendation me
Externí odkaz:
https://doaj.org/article/2bcfb7e2818e44a3b95fd965f7641a61
Publikováno v:
IEEE Access, Vol 7, Pp 131068-131077 (2019)
Nowadays, for improving the increasingly crowded traffic conditions, internet of vehicles (IoV) emerges. In IoV, the increase of smart vehicle applications produces computation-intensive tasks for vehicles. However, it is tough for vehicles to meet t
Externí odkaz:
https://doaj.org/article/ba44224bfd5146c8b49227799bd75a8a
Autor:
Yanwei Xu, Zhiyong Feng, Xian Zhou, Meng Xing, Hongyue Wu, Xiao Xue, Shizhan Chen, Chao Wang, Lianyong Qi
Publikováno v:
Information Sciences. 630:507-522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a779a8ad640091b3372ef0061adfd3a
https://doi.org/10.1016/j.ins.2023.02.045
https://doi.org/10.1016/j.ins.2023.02.045