Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yunze Zeng"'
Publikováno v:
IEEE Access, Vol 12, Pp 61708-61716 (2024)
The Internet of Things (IoT) is a crucial component of the contemporary information industry and represents a significant advancement in information technology aimed at enhancing both human productivity and daily existence. Their applications are ext
Externí odkaz:
https://doaj.org/article/621b03f7b4fe477189b4bd244670e6e4
Autor:
Xingjie Feng, Yunze Zeng
Publikováno v:
IEEE Access, Vol 7, Pp 103263-103274 (2019)
This paper mainly studies the personalized rating prediction task based on review texts for the recommendation. Recently, most of the related researches use convolutional neural networks to capture local context information, but it loses word frequen
Externí odkaz:
https://doaj.org/article/744ef9536dc64b1fbcb5ba11824ba501
Autor:
Xingjie Feng, Yunze Zeng
Publikováno v:
IEEE Access, Vol 7, Pp 143169-143184 (2019)
In recent years, review-based collaborative filtering (CF) has been extensively studied, which is an combination between natural language processing (NLP) and recommender systems. The core pattern behind CF is to first model user and item, and then a
Externí odkaz:
https://doaj.org/article/b0c63cad6d254276a425bf23345af190
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 3, Pp 1-12 (2015)
Energy expenditure (EE) estimation is an important factor in tracking personal activity and preventing chronic diseases, such as obesity and diabetes. Accurate and real-time EE estimation utilizing small wearable sensors is a difficult task, primaril
Externí odkaz:
https://doaj.org/article/b11820d70dd84643a12313fef7ba7ae8
Autor:
Yunze Zeng, Xingjie Feng
Publikováno v:
IEEE Access, Vol 7, Pp 143169-143184 (2019)
In recent years, review-based collaborative filtering (CF) has been extensively studied, which is an combination between natural language processing (NLP) and recommender systems. The core pattern behind CF is to first model user and item, and then a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::696d230ca68e661b97dd37444e9f0fe3
https://doi.org/10.1109/access.2019.2941236
https://doi.org/10.1109/access.2019.2941236
Publikováno v:
SECON
Automobile manufacturers are building cars with passive keyless entry support – the ability for users to unlock and start their cars while having the car keys "in their pockets". In this regard, car manufacturers are currently installing Ultra-Wide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5af17f742286e28d0bdb7a967c550cca
https://doi.org/10.1109/secon48991.2020.9158440
https://doi.org/10.1109/secon48991.2020.9158440
Publikováno v:
ACM Transactions on Sensor Networks. 13:1-32
Continuous monitoring of human’s breathing and heart rates is useful in maintaining better health and early detection of many health issues. Designing a technique that can enable contactless and ubiquitous vital sign monitoring is a challenging res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db816991c2bb2f4f470eb8018f53b5a9
https://doi.org/10.1145/3051124
https://doi.org/10.1145/3051124
Publikováno v:
IEEE Transactions on Dependable and Secure Computing. 13:71-83
In vehicular networks, broadcast communications are critically important, as many safety-related applications rely on single-hop beacon messages broadcast to neighbor vehicles. However, it becomes a challenging problem to design a broadcast authentic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::610975db35ff84315526e6e1ae1f4ad4
https://doi.org/10.1109/tdsc.2015.2399297
https://doi.org/10.1109/tdsc.2015.2399297
Publikováno v:
AIVR
The recommendation model based on scoring matrix is widely used. Although it has achieved certain recommendation accuracy, it ignores the large amount of semantic information available in the reviews that reflects the user's interests, and the data s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f7f6a60e5c87a53e329d8075319700b
https://doi.org/10.1145/3293663.3293667
https://doi.org/10.1145/3293663.3293667
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 3, Pp 1-12 (2015)
Pande, Amit; Zhu, Jindan; Das, Aveek K; Zeng, Yunze; Mohapatra, Prasant; & Han, Jay J. (2015). Using Smartphone Sensors for Improving Energy Expenditure Estimation.. IEEE journal of translational engineering in health and medicine, 3, 2700212. doi: 10.1109/JTEHM.2015.2480082. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5bv288n0
IEEE Journal of Translational Engineering in Health and Medicine
Pande, Amit; Zhu, Jindan; Das, Aveek K; Zeng, Yunze; Mohapatra, Prasant; & Han, Jay J. (2015). Using Smartphone Sensors for Improving Energy Expenditure Estimation.. IEEE journal of translational engineering in health and medicine, 3, 2700212. doi: 10.1109/JTEHM.2015.2480082. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5bv288n0
IEEE Journal of Translational Engineering in Health and Medicine
Energy expenditure (EE) estimation is an important factor in tracking personal activity and preventing chronic diseases, such as obesity and diabetes. Accurate and real-time EE estimation utilizing small wearable sensors is a difficult task, primaril
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc4b99b491384826bd18973d92ba07d6
https://ieeexplore.ieee.org/document/7272038/
https://ieeexplore.ieee.org/document/7272038/