Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mgs M Luthfi Ramadhan"'
Publikováno v:
IEEE Access, Vol 12, Pp 19100-19116 (2024)
Fast and accurate post-earthquake building damage assessment is an important task to do to define search and rescue procedures. Many approaches have been proposed to automate this process by using artificial intelligence, some of which use handcrafte
Externí odkaz:
https://doaj.org/article/4d5e375ddc964a6cb2eb0ed36cabb59d
Publikováno v:
IEEE Access, Vol 11, Pp 69072-69090 (2023)
One of the major challenges in the change detection (CD) of high-resolution remote sensing images is the high requirement for computational resources. Besides, to get the best change detection result, it must spot only the important changes while omi
Externí odkaz:
https://doaj.org/article/92e9011e818d4833af55b4a864e1889c
Autor:
Lies Dina Liastuti, Bambang Budi Siswanto, Renan Sukmawan, Wisnu Jatmiko, Idrus Alwi, Budi Wiweko, Aria Kekalih, Yosilia Nursakina, Rindayu Yusticia Indira Putri, Grafika Jati, Mgs M Luthfi Ramadhan, Ericko Govardi, Aqsha Azhary Nur
Publikováno v:
Acta Medica Indonesiana, Vol 54, Iss 3 (2022)
Background: The accuracy of an artificial intelligence model based on echocardiography video data in the diagnosis of heart failure (HF) called LIFES (Learning Intelligent for Effective Sonography) was investigated. Methods: A cross-sectional diagnos
Externí odkaz:
https://doaj.org/article/13e907971f904c1c99b799f1fd744b7d
Autor:
Fityan Azizi, Akbar Fathur Sani, Rinto Priambodo, Wisma Chaerul Karunianto, Mgs M Luthfi Ramadhan, Muhammad Febrian Rachmadi, Wisnu Jatmiko
Publikováno v:
2022 7th International Workshop on Big Data and Information Security (IWBIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96aa17f016e075ec935081e56473aa47
https://doi.org/10.1109/iwbis56557.2022.9924685
https://doi.org/10.1109/iwbis56557.2022.9924685
Autor:
Mgs M Luthfi Ramadhan, Grafika Jati, Machmud Roby Alhamidi, Riskyana Dewi Intan P, Muhammad Hafizhuddin Hilman, Wisnu Jatmiko
Publikováno v:
2021 6th International Workshop on Big Data and Information Security (IWBIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e50bda57ccf2f0f311a1e7877f36384e
https://doi.org/10.1109/iwbis53353.2021.9631844
https://doi.org/10.1109/iwbis53353.2021.9631844