Web-NDefA: Open-source and web-based online platform for 3-D deformation analysis of geodetic networks

Autor: Mehmet Bak, Rahmi Nurhan Çeli̇k

Publikováno v: SoftwareX, Vol 24, Iss , Pp 101523- (2023)

The static deformation analysis model and similarity (S)-transformation method are widely used for monitoring deformations in geodetic networks. With this popular analysis method, it is possible to determine the three-dimensional (3D) displacements i

Externí odkaz: https://doaj.org/article/0e73187fa5394ab18b7a9dcbc8de851f

Clustering patient mobility patterns to assess effectiveness of health-service delivery

Autor: Selman Delil, Rahmi Nurhan Çelik, Sayın San, Murat Dundar

Publikováno v: BMC Health Services Research, Vol 17, Iss 1, Pp 1-14 (2017)

Abstract Background Analysis of patient mobility in a country not only gives an idea of how the health-care system works, but also can be a guideline to determine the quality of health care and health disparity among regions. Even though determinatio

Externí odkaz: https://doaj.org/article/29f2163011464686a88036861cae9b62

Web-NDefA: Açık kaynak kodlu GNSS tabanlı deformasyon analizi platformu

Autor: Mehmet Bak, Rahmi Nurhan Çelik

Publikováno v: Journal of Geodesy and Geoinformation. 9:166-181

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2bf18c81bcb107a425f2d5caf725ebc8
https://doi.org/10.9733/jgg.2022r0012.t

Serverless Geospatial Data Processing Workflow System Design

Autor: Rahmi Nurhan Çelik, Mete Ercan Pakdil

Publikováno v: ISPRS International Journal of Geo-Information, Vol 11, Iss 20, p 20 (2022)
ISPRS International Journal of Geo-Information; Volume 11; Issue 1; Pages: 20

Geospatial data and related technologies have become an increasingly important aspect of data analysis processes, with their prominent role in most of them. Serverless paradigm have become the most popular and frequently used technology within cloud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a651ac3ce230e3455020ffdc6b9a4743
https://www.mdpi.com/2220-9964/11/1/20

FireAnalyst: An effective system for detecting fire geolocation and fire behavior in forests using mathematical modeling

Autor: Rahmi Nurhan Çelik, Yücel Güllüce

Publikováno v: Volume: 44, Issue: 2 127-139
Turkish Journal of Agriculture and Forestry

This study proposes an effective new fire detection method and monitoring software for an early-warning fire detection system aimed at valuable forested areas, such as botanical parks or high conservation value forests, particularly those with bounda

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec78d7769a3faa2bf19c9b4bc93896aa
https://doi.org/10.3906/tar-1907-11