Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Sud Sudirman"'
Publikováno v:
Problems and Perspectives in Management, Vol 22, Iss 4, Pp 368-381 (2024)
Global concern over environmental pollution has sparked the adoption of green business practices, which are essential for the sustainability of SMEs through green economy initiatives and renewable resources. This study aims to analyze the integration
Externí odkaz:
https://doaj.org/article/6b17bc01d326492eb2c33cfa6985b013
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/b9cf61b2dd4f4779a2852d39a3900e2c
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 11239-11250 (2022)
Testing the structural integrity of pipelines is a crucial maintenance task in the oil and gas industry. This structural integrity could be compromised by corrosions that occur in the pipeline wall. They could cause catastrophic accidents and are ver
Externí odkaz:
https://doaj.org/article/38452bb927ef44d29a2245c8712c068e
Autor:
Friska Natalia, Julio Christian Young, Nunik Afriliana, Hira Meidia, Reyhan Eddy Yunus, Sud Sudirman
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0261659 (2022)
Abnormalities and defects that can cause lumbar spinal stenosis often occur in the Intervertebral Disc (IVD) of the patient's lumbar spine. Their automatic detection and classification require an application of an image analysis algorithm on suitable
Externí odkaz:
https://doaj.org/article/7974c8d925434849828450b1cce2229b
Publikováno v:
IEEE Access, Vol 7, Pp 45301-45312 (2019)
Multi-class pest detection is one of the crucial components in pest management involving localization in addition to classification which is much more difficult than generic object detection because of the apparent differences among pest species. Thi
Externí odkaz:
https://doaj.org/article/e91262cce961456883a2a2b1608ff566
Autor:
Ala S. Al-Kafri, Sud Sudirman, Abir Hussain, Dhiya Al-Jumeily, Friska Natalia, Hira Meidia, Nunik Afriliana, Wasfi Al-Rashdan, Mohammad Bashtawi, Mohammed Al-Jumaily
Publikováno v:
IEEE Access, Vol 7, Pp 43487-43501 (2019)
We propose a methodology to aid clinicians in performing lumbar spinal stenosis detection through semantic segmentation and delineation of magnetic resonance imaging (MRI) scans of the lumbar spine using deep learning. Our dataset contains MRI studie
Externí odkaz:
https://doaj.org/article/11e399155d564958baefc73945c16bb7
Autor:
Friska Natalia, Hira Meidia, Nunik Afriliana, Julio Christian Young, Reyhan Eddy Yunus, Mohammed Al-Jumaily, Ala Al-Kafri, Sud Sudirman
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0241309 (2020)
Lumbar Spinal Stenosis causes low back pain through pressures exerted on the spinal nerves. This can be verified by measuring the anteroposterior diameter and foraminal widths of the patient's lumbar spine. Our goal is to develop a novel strategy for
Externí odkaz:
https://doaj.org/article/bbd85c7e245d43c9a62c951133be5c0d
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 3, Pp 1033-1054 (2015)
In this paper we investigate the use of games technologies for the research and the development of 3D representations of real environments captured from GIS information and open source map data. Challenges involved in this area concern the large data
Externí odkaz:
https://doaj.org/article/9d1d2f6eefe94b369f7395e5cade7ff9
Autor:
Friska Natalia, Sud Sudirman
Publikováno v:
2022 2nd International Conference on Computers and Automation (CompAuto).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::962f5dec66ecc87f78f8844fd44c6dfd
https://doi.org/10.1109/compauto55930.2022.00013
https://doi.org/10.1109/compauto55930.2022.00013