Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Zhenyan Ji"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Railway transportation has experienced significant growth worldwide, offering numerous benefits to society. Most railway accidents are caused by wheelset faults so it’s significant to monitor wheelset conditions. Therefore, we need to coll
Externí odkaz:
https://doaj.org/article/94598dce7251474b8041b4b54da80646
Publikováno v:
Digital Communications and Networks, Vol 6, Iss 4, Pp 514-523 (2020)
Wireless Body Area Networks (WBANs) comprise various sensors to monitor and collect various vital signals, such as blood pressure, pulse, heartbeat, body temperature, and blood sugar. A dense and mobile WBAN often suffers from interference, which cau
Externí odkaz:
https://doaj.org/article/1d878fcbfe4b435d86217d12431a86d3
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-17 (2020)
Abstract Recommendation systems are often used to solve the problem of information overload on the Internet. Many types of data can be used for recommendations, and fusing different types of data can make recommendations more accurate. Most existing
Externí odkaz:
https://doaj.org/article/9d77d7485d704d5bb6dbb1ce1049fbfe
Publikováno v:
Complexity, Vol 2021 (2021)
A session-based recommendation system is designed to predict the user’s next click behavior based on an ongoing session. Existing session-based recommendation systems usually model a session into a sequence and extract sequence features through rec
Externí odkaz:
https://doaj.org/article/ed0430b3317a47989040a35f871c8f96
Publikováno v:
IEEE Access, Vol 7, Pp 23667-23674 (2019)
With the rapid growth of multimodal data, the cross-modal search has widely attracted research interests. Due to its efficiency on storage and computing, hashing-based methods are broadly used for large scale cross-modal retrieval. Most existing hash
Externí odkaz:
https://doaj.org/article/3984d0d082694d178e3c1510145b9294
Publikováno v:
IEEE Access, Vol 7, Pp 40416-40427 (2019)
With the development of e-commerce, a large amount of personalized information is produced daily. To utilize diverse personalized information to improve recommendation accuracy, we propose a hybrid recommendation model based on users' ratings, review
Externí odkaz:
https://doaj.org/article/10308e694d284ca4a44e6c2a373fa734
Publikováno v:
Journal of Database Management. 33:1-16
It is significant to accurately predict the epidemic trend of COVID-19 due to its detrimental impact on the global health and economy. Although machine learning based approaches have been applied to predict epidemic trend, standard models have shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d46c36cb173fb7503813711eebaf9f0
https://doi.org/10.4018/jdm.299560
https://doi.org/10.4018/jdm.299560
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41fd293edb2d082f6233db1e8ae9a58e
https://doi.org/10.1109/tits.2022.3176222
https://doi.org/10.1109/tits.2022.3176222
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6970463355cbc80eb910dfe0b92c6f6
https://doi.org/10.1109/tits.2022.3186587
https://doi.org/10.1109/tits.2022.3186587
Publikováno v:
Future Generation Computer Systems. 125:324-333
News recommendation plays an important role in alleviating information overload and helping users find their interesting news. Most of the existing news recommendation methods make a recommendation based on static data. They ignore the time dynamic c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca88692291ad94d9fb6a4e48dcb92863
https://doi.org/10.1016/j.future.2021.06.007
https://doi.org/10.1016/j.future.2021.06.007