Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Muhammad Fikko Fadjrimiratno"'
Publikováno v:
Sensors, Vol 23, Iss 3, p 1307 (2023)
This paper proposes a graph-based deep framework for detecting anomalous image regions in human monitoring. The most relevant previous methods, which adopt deep models to obtain salient regions with captions, focus on discovering anomalous single reg
Externí odkaz:
https://doaj.org/article/a1316098f88a4386834caa865cabe264
Publikováno v:
Neural Information Processing ISBN: 9783030921842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b78e1577b8cdad205be1ad862d4a34
https://doi.org/10.1007/978-3-030-92185-9_37
https://doi.org/10.1007/978-3-030-92185-9_37
Publikováno v:
VISIGRAPP (5: VISAPP)
Autor:
Qingpu Yang, Tetsu Matsukawa, Yuanyuan Li, Einoshin Suzuki, Muhammad Fikko Fadjrimiratno, Yusuke Hatae
Publikováno v:
VISIGRAPP (5: VISAPP)
Autor:
Andrey Wicaksono, Hot Asi Yohannes Sidabutar, Rofiq Cahyo Prayogo, Sumardi, Muhammad Fikko Fadjrimiratno
Publikováno v:
TENCON 2015 - 2015 IEEE Region 10 Conference.
Illegal fuel hoarding usually done by irresponsible drivers when they transport the oil from terminal to the gas stations. Many technologies already used by Pertamina (Indonesian National Oil Company) to prevent that case, but it has proved ineffecti