Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kumari Pritee"'
Autor:
Swapnil, Prashant, Singh, Laishram Amarjit, Mandal, Chandan, Sahoo, Abhishek, Batool, Farida, Anuradha, Meena, Mukesh, Kumari, Pritee, Harish, Zehra, Andleeb
Publikováno v:
In Journal of Water Process Engineering August 2023 54
Autor:
Kumari Pritee, R. D. Garg
Publikováno v:
Journal of Future Sustainability. 3:9-22
Highway accident data analysis provides probability of occurrence of road accidents by associating different accident factors using data mining algorithms. Analysis can be improved by using advanced data mining algorithms that compute relationships w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::317aa31b1fb1f3a6f7a1d325c1ec24ba
https://doi.org/10.5267/j.jfs.2022.11.002
https://doi.org/10.5267/j.jfs.2022.11.002
Autor:
KUMARI PRITEE
Publikováno v:
Indian Journal of Data Mining. 2:1-14
Safety on roads and prevention of accidents are the prime concern of any highway system. Data mining is a source of retrieval of information for knowledge discovery approach. Many data mining methodologies have been applied to accident data in the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::babf6dfc55551bb096f3464978b43ec2
https://doi.org/10.54105/ijdm.c1618.051322
https://doi.org/10.54105/ijdm.c1618.051322
Autor:
Kumari Pritee, Rahul Dev Garg
Publikováno v:
International Journal of Advanced Remote Sensing and GIS. 6:2442-2448
Many route mappings were done with the help of API of Google maps but do not provide geospatial Routing functionality like overlay, interpolation etc. This project aims to find the shortest path between two or more points by using multipath Dijkstra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11a0feb582e51af7be1c9d7c3fe9aa60
https://doi.org/10.23953/cloud.ijarsg.321
https://doi.org/10.23953/cloud.ijarsg.321
Autor:
Kumari Pritee
Publikováno v:
RA Journal of Applied Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3ca3b52ec6deaada1a66e0996f8b9f1
https://doi.org/10.18535/rajar/v3i10.03
https://doi.org/10.18535/rajar/v3i10.03
Autor:
Rahul Dev Garg, Kumari Pritee
Publikováno v:
Scopus-Elsevier
As lots of GIS (Geographic Information systems) applications for statistical purposes are available in the market but still there is lots of demand of integration of GRASS-GIS i.e., Geographic Resources Analysis support GIS with the R statistical pac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3165057c1b0ac929939688ea6895403
https://doi.org/10.4172/2469-4134.1000188
https://doi.org/10.4172/2469-4134.1000188