Zobrazeno 1 - 10
of 31
pro vyhledávání: '"chaoran zhou"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2391 (2024)
Shared bikes, as an eco-friendly transport mode, facilitate short commutes for urban dwellers and help alleviate traffic. However, the prevalent station-based strategy for bike placements often overlooks urban zones, cycling patterns, and more, resul
Externí odkaz:
https://doaj.org/article/ccd21bd493b64dd1a62fc5870af8d437
Publikováno v:
IEEE Access, Vol 8, Pp 214454-214468 (2020)
Urban data is a imperative resource for urban computing, which can promote the establishment of urban knowledge, the collection of urban information and the construction of smart cities. Seen that the urban data collected through hardware sensors and
Externí odkaz:
https://doaj.org/article/03654b81ad72473bb61ab60716e9ec9e
Publikováno v:
Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::503216a6b7d2258f8abd0471f7329a3e
https://doi.org/10.1117/12.2674768
https://doi.org/10.1117/12.2674768
Publikováno v:
Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::744ed561152eb66adf5a82b801174ca9
https://doi.org/10.1117/12.2674775
https://doi.org/10.1117/12.2674775
Publikováno v:
International Conference on Computer Vision, Application, and Algorithm (CVAA 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::983fff4f187c04daa9c169ca41be0a39
https://doi.org/10.1117/12.2673321
https://doi.org/10.1117/12.2673321
Publikováno v:
International Conference on Computer Vision, Application, and Algorithm (CVAA 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c920d3791a1bd606855772d5c81d663
https://doi.org/10.1117/12.2673584
https://doi.org/10.1117/12.2673584
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
This article proposes a machine learning–based travel mode detection method using urban residents’ travel routes as the data source, collected via smartphone global positioning system modules. A data-driven machine learning strategy was chosen in
Externí odkaz:
https://doaj.org/article/33f8dec0418442cbb8c2cf75e743ceec
Publikováno v:
IEICE Transactions on Information and Systems. :659-668
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9545d91008d45b6af8e8207f017c2b85
https://doi.org/10.1587/transinf.2020ntp0001
https://doi.org/10.1587/transinf.2020ntp0001
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 24:944-952
The automatic classification of point of interest (POI) function types based on POI name texts and intelligent computing can provide convenience in travel recommendations, map information queries, urban function divisions, and other services. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6c35861cfaa4f3e585457a60c4cde1c
https://doi.org/10.20965/jaciii.2020.p0944
https://doi.org/10.20965/jaciii.2020.p0944
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 24:837-845
In Internet applications, the description for the same point of interest (POI) entity for different location-based services (LBSs) is not completely identical. The POI entity information in a single LBS data source contains incomplete data and exhibi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb36f83f9f07b3e07197b5cf1a87b883
https://doi.org/10.20965/jaciii.2020.p0837
https://doi.org/10.20965/jaciii.2020.p0837