Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Qingxi Peng"'
Publikováno v:
IEEE Access, Vol 8, Pp 218565-218574 (2020)
Deep learning provides appropriate mechanisms to predict vessel trajectories for safer and efficient shipping, but still existing models are mainly oriented to longer-term prediction trends and do not fully support real time navigation needs. While m
Externí odkaz:
https://doaj.org/article/9b840999b3ab4489bccbb9d15f49d9d4
Publikováno v:
IEEE Access, Vol 8, Pp 196826-196834 (2020)
An increasing number of people are choosing to shop online; hence, online reviews are an increasingly influential factor in consumer purchasing decisions. However, extracting useful information from online reviews is a challenge in the analysis of co
Externí odkaz:
https://doaj.org/article/b78f0ce29ee34fd6a315c5b6d8852499
Publikováno v:
International Journal of Digital Earth, Vol 11, Iss 9, Pp 897-912 (2018)
The quality of GIServices (QoGIS) is an important consideration for services sharing and interoperation. However, QoGIS is a complex concept and difficult to be evaluated reasonably. Most of the current studies have focused on static and non-scalable
Externí odkaz:
https://doaj.org/article/a8061a3765e541d1ba070642c4cb2be8
Publikováno v:
Electronics; Volume 11; Issue 21; Pages: 3532
Although matrix model-based approaches to collaborative filtering (CF), such as latent factor models, achieve good accuracy in review rating prediction, they still face data sparsity problems. Many recent studies have exploited review text informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd4ebd97716288da4ffdc388f864f8c
Publikováno v:
IEEE Access, Vol 8, Pp 218565-218574 (2020)
Deep learning provides appropriate mechanisms to predict vessel trajectories for safer and efficient shipping, but still existing models are mainly oriented to longer-term prediction trends and do not fully support real time navigation needs. While m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f68314b1d0809d670a321d1535df1b63
https://doi.org/10.1109/access.2020.3041762
https://doi.org/10.1109/access.2020.3041762
Publikováno v:
Future Generation Computer Systems. 102:163-172
Recently, online reviews are used increasingly by individuals and organizations for making purchase and business decisions. Unfortunately, driven by profit and fame, spammers post spurious reviews to mislead the customers. Therefore, intelligent dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db3e5aeaf85abf3f19f1a07212c01a25
https://doi.org/10.1016/j.future.2019.07.044
https://doi.org/10.1016/j.future.2019.07.044
Publikováno v:
International Journal of Digital Earth. 11:897-912
The quality of GIServices (QoGIS) is an important consideration for services sharing and interoperation. However, QoGIS is a complex concept and difficult to be evaluated reasonably. Most o...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a136c73bd2b73a7fadf9ab1281434115
https://doi.org/10.1080/17538947.2017.1367041
https://doi.org/10.1080/17538947.2017.1367041
Publikováno v:
International Journal of u- and e- Service, Science and Technology. 9:95-104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eec770fb51e4422439fb220fb94a74e
https://doi.org/10.14257/ijunesst.2016.9.11.09
https://doi.org/10.14257/ijunesst.2016.9.11.09
Autor:
Ling Shen, Qingxi Peng
Publikováno v:
Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47f4bee3cb22ea0df63cf0ef70369d6b
https://doi.org/10.2991/icmeit-16.2016.65
https://doi.org/10.2991/icmeit-16.2016.65
Autor:
Qingxi Peng, Ling Shen
Publikováno v:
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1c6a7ff91143ba338b55313ab0d6135
https://doi.org/10.2991/mmebc-16.2016.292
https://doi.org/10.2991/mmebc-16.2016.292