Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Guoliang Pu"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 5, p 336 (2021)
Forecasting the motion of surrounding vehicles is necessary for an autonomous driving system applied in complex traffic. Trajectory prediction helps vehicles make more sensible decisions, which provides vehicles with foresight. However, traditional m
Externí odkaz:
https://doaj.org/article/a0d589eda69d40199cf1afe0bc6e5261
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 12, p 698 (2020)
Address geolocation aims to associate address texts to the geographic locations. In China, due to the increasing demand for LBS applications such as take-out services and express delivery, automatically geolocating the unstructured address informatio
Externí odkaz:
https://doaj.org/article/3522c2afb59d495d8739953a48541f29
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 6, p 284 (2019)
With the rapid development of global positioning technologies and the pervasiveness of intelligent mobile terminals, trajectory data have shown a sharp growth trend both in terms of data volume and coverage. In recent years, increasing numbers of LBS
Externí odkaz:
https://doaj.org/article/4a5010b568494306b3f38cd19d6b8139
QRA-Grid: Quantitative Risk Analysis and Grid-based Pre-warning Model for Urban Natural Gas Pipeline
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 3, p 122 (2019)
With the increasing use and complexity of urban natural gas pipelines, the occurrence of accidents owing to leakage, fire, explosion, etc., has increased. Based on Quantitative Risk Analysis (QRA) models and Geographic Information System (GIS) techno
Externí odkaz:
https://doaj.org/article/f3d659a65c684823a7de6cb29ada37da
Autor:
Maoling Tao, Lin‐Yuan Zeng, Weipiao Li, Guoliang Pu, Jia Jia, Qiuli Yao, Xuefei Li, Chun‐Yang He
Publikováno v:
Advanced Synthesis & Catalysis. 365:854-859
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7dea5f7099f32f03cd39867c7f3046
https://doi.org/10.1002/adsc.202201279
https://doi.org/10.1002/adsc.202201279
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030690656
The data generated in the process of planning, construction, and management of construction and building is diverse and large in scale, and there is an urgent need for a unique, consistent, and efficient code. Beidou grid position coding stipulates i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47e551dfbff60ed27156f7eec6a9d670
https://doi.org/10.1007/978-3-030-69066-3_50
https://doi.org/10.1007/978-3-030-69066-3_50
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 698, p 698 (2020)
ISPRS International Journal of Geo-Information
Volume 9
Issue 12
ISPRS International Journal of Geo-Information
Volume 9
Issue 12
Address geolocation aims to associate address texts to the geographic locations. In China, due to the increasing demand for LBS applications such as take-out services and express delivery, automatically geolocating the unstructured address informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa116619adfa7bd1a145237dbdf92b91
https://www.mdpi.com/2220-9964/9/12/698
https://www.mdpi.com/2220-9964/9/12/698
Publikováno v:
Earth Science Informatics. 12:173-181
As geospatial data is increasingly massive and complex, large data volume and rich data source query retrieval are among the urgent issues in need of resolution. Spatial indices are widely used to organize data and optimize queries. However, tree-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::494adcf32fad444767c94bb38f26ed8a
https://doi.org/10.1007/s12145-018-0362-6
https://doi.org/10.1007/s12145-018-0362-6
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 6, p 284 (2019)
ISPRS International Journal of Geo-Information
Volume 8
Issue 6
ISPRS International Journal of Geo-Information
Volume 8
Issue 6
With the rapid development of global positioning technologies and the pervasiveness of intelligent mobile terminals, trajectory data have shown a sharp growth trend both in terms of data volume and coverage. In recent years, increasing numbers of LBS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c52cdebce8b14e7cee44aac4e627c4b
https://www.mdpi.com/2220-9964/8/6/284
https://www.mdpi.com/2220-9964/8/6/284
QRA-Grid: Quantitative Risk Analysis and Grid-based Pre-warning Model for Urban Natural Gas Pipeline
Publikováno v:
ISPRS International Journal of Geo-Information
Volume 8
Issue 3
ISPRS International Journal of Geo-Information, Vol 8, Iss 3, p 122 (2019)
Volume 8
Issue 3
ISPRS International Journal of Geo-Information, Vol 8, Iss 3, p 122 (2019)
With the increasing use and complexity of urban natural gas pipelines, the occurrence of accidents owing to leakage, fire, explosion, etc., has increased. Based on Quantitative Risk Analysis (QRA) models and Geographic Information System (GIS) techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f9b790e22370fdd0e039faf8aeb1a0e