Zobrazeno 1 - 10
of 306
pro vyhledávání: '"Wenge Rong"'
Autor:
Kamal Abubker Abrahim Sleiman, Lan Juanli, Hong Zhen Lei, Wenge Rong, Wang Yubo, Shunhang Li, Jingyi Cheng, Fouzia Amin
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e16197- (2023)
The Unified Theory of Acceptance and Use of Technology (UTAUT) is a potential paradigm for explaining technology adoption and can be applied to a wide range of scenarios. During the COVID-19 (C-19) outbreak in China, mobile-payment platforms (Mpaymen
Externí odkaz:
https://doaj.org/article/35858cab1e1d427e8c5bcc10d17a52e0
Publikováno v:
IET Smart Cities, Vol 3, Iss 4, Pp 211-218 (2021)
Abstract Smart city is one of the current trends of city evolvement. Smart city is a systematic project, which needs a holistic approach. As lots of pilot projects have been undertaken by cities, how to assess the ‘smartness’ of a city is of grea
Externí odkaz:
https://doaj.org/article/977ea149d9d14b96bfe7b1c7b83fd0d4
Autor:
Kamal Abubker Abrahim Sleiman, Wang Jin, Lan Juanli, Hong Zhen Lei, Jingyi Cheng, Yuanxin Ouyang, Wenge Rong
Publikováno v:
SAGE Open, Vol 12 (2022)
The advancement of technology in the field of telecommunications and increasing use of smartphones worldwide has simplified the purchasing and payment process via mobile devices. This new payment method enables people to enjoy services in a flexible
Externí odkaz:
https://doaj.org/article/eeba208a4ffe47ec8e1507131364af14
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-19 (2021)
Abstract Background Biomedical question answering (QA) is a sub-task of natural language processing in a specific domain, which aims to answer a question in the biomedical field based on one or more related passages and can provide people with accura
Externí odkaz:
https://doaj.org/article/94ce15823b0743489fc3b1d3a511d847
Publikováno v:
SAGE Open, Vol 11 (2021)
The technology acceptance model (TAM) has been regarded as a promising model for understanding technology adoption and can be extended to different situations. Currently, mobile payment services have been widely applied in people’s daily lives in C
Externí odkaz:
https://doaj.org/article/d5495a52e791423bbdc31e77f1bcd204
Publikováno v:
IEEE Access, Vol 7, Pp 9071-9079 (2019)
Emotion cause extraction is one of the most important applications in natural language processing tasks. It is a difficult challenge due to the complex semantic information between emotion description and the whole document. Previous approaches have
Externí odkaz:
https://doaj.org/article/942000808d854afea84a3f0a81f5fd60
Publikováno v:
IEEE Access, Vol 7, Pp 34954-34963 (2019)
The dialogue response generation is a challenging task in chatbot applications. Recently neural-network-based dialogue models, including the sequence-to-sequence model and the RNN language models, are able to generate fluent and grammatically complia
Externí odkaz:
https://doaj.org/article/d11e1ffbe9b04a7a9d876bd345c74c4a
Publikováno v:
IEEE Transactions on Education. :1-12
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-12
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-12