Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Varyl Hasbi Athala"'
Autor:
Abdul Haris Rangkuti, Varyl Hasbi Athala, Naufal Fauzi Luthfi, Syaugi Vikri Aditama, Muhammad Maulana Ramadhan, Ayu Hidayah Aslamia
Publikováno v:
2021 IEEE International Conference on Computing (ICOCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a9e5a7dfbb3a2d14a632d3588a89ee5
https://doi.org/10.1109/icoco53166.2021.9673549
https://doi.org/10.1109/icoco53166.2021.9673549
Autor:
Abdul Haris Rangkuti, Varyl Hasbi Athala, Naufal Fauzi Luthfi, Syaugi Vikri Aditama, Ayu Hidayah Aslamiah
Publikováno v:
2021 3rd International Symposium on Material and Electrical Engineering Conference (ISMEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ce509878149ea8d7114b59b83e90dbd
https://doi.org/10.1109/ismee54273.2021.9774134
https://doi.org/10.1109/ismee54273.2021.9774134
Autor:
Varyl Hasbi Athala, Abdul Haris Rangkuti, Naufal Fauzi Luthfi, Syaugi Vikri Aditama, Johan Muliadi Kerta
Publikováno v:
2021 3rd International Symposium on Material and Electrical Engineering Conference (ISMEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3104db4315f18bf40ad685f259b96038
https://doi.org/10.1109/ismee54273.2021.9774136
https://doi.org/10.1109/ismee54273.2021.9774136
Autor:
Naufal Fauzi Luthfi, Varyl Hasbi Athala, Syaugi Vikri Aditama, Abdul Haris Rangkuti, Johan Muliadi Kerta
Publikováno v:
2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS).
Basically the traditional cloth pattern varieties increase every year so that they become more difficult to identify. Based on that fact, automatic traditional cloth patterns has become more important to help people recognize their patterns. This res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::504610916340a39d1bec9d991d93c50f
https://doi.org/10.1109/aidas53897.2021.9574402
https://doi.org/10.1109/aidas53897.2021.9574402
Autor:
Abdul Haris Rangkuti, Varyl Hasbi Athalaa, Farrel Haridhi Indallah, Fajar Febriansyah Febriansyah
Publikováno v:
JOIV: International Journal on Informatics Visualization, Vol 7, Iss 1, Pp 58-69 (2023)
This study describes the optimization of hand gesture recognition on Raspberry Pi 4 technology has advanced over the past years, some computers are now able to compute much more complex problems like real-time object detection. But for small devices,
Externí odkaz:
https://doaj.org/article/b361e77bf29f461c894db298c95ce0ab