Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nahari Rosida Vivin"'
Autor:
Rahmawati Diana, Joni Koko, Maulana Muhammad Iqbal, Nahari Rosida Vivin, Ibadillah Achmad Fiqhi, Setiawan Heri, Saputro Adi Kurniawan
Publikováno v:
MATEC Web of Conferences, Vol 372, p 06002 (2022)
Facial expressions are one of the ways humans communicate to convey personal emotions to their communication partner nonverbally. Therefore, human facial expressions can be used for various purposes, one of which is knowing customer satisfaction. So
Externí odkaz:
https://doaj.org/article/65001706f19740949f26ac968ee72546
Publikováno v:
E3S Web of Conferences, Vol 328, p 02013 (2021)
In this work, we propose measuring the propagation speed on the transmission medium in the form of a 2.5mm NYAF cable. The method used is load matching and time difference of arrival (TDA). The load matching method uses the same load as the character
Externí odkaz:
https://doaj.org/article/7b85aa55f0a746eeb3c90e7dd432fda9
Autor:
Haryanto, Joni Koko, Purnamasari Dian Neipa, Rahmawati Diana, Nahari Rosida Vivin, Ibadillah Achmad Fiqhi
Publikováno v:
E3S Web of Conferences, Vol 328, p 08004 (2021)
The absence of an increase in the interest of the young population to enter the agricultural sector has an impact on the amount of food production each year. This happens because young people think that the farming profession is not promising for sur
Externí odkaz:
https://doaj.org/article/00498aa9f1e94426acbc404aee846469
Publikováno v:
Iraqi Journal of Science. 2023, Vol. 64 Issue 10, p5253-5264. 12p.
Autor:
Rahmawati, Diana, Setiawan, Heri, Hardiwansyah, Muttaqin, Alfita, Riza, Nahari, Rosida Vivin, Sukri, Hanifudin, Setiawibawa, Rachmat
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3176 Issue 1, p1-14, 14p
Publikováno v:
Nusantara of Engineering (NOE); Vol. 3 No. 1 (2016)
Nusantara of Engineering (NOE); Vol 3 No 1 (2016)
BASE-Bielefeld Academic Search Engine
Nusantara of Engineering (NOE); Vol 3 No 1 (2016)
BASE-Bielefeld Academic Search Engine
— Pada penelitian ini, Metode vector quantization yang dioptimasi menggunakan metode K-mean diimplementasikan untuk mengelompokkan region pada gambar 2 dimensi dengan ekstrasi fitur warna RGB dan fitur warna YcbCr. Fitur warna tersebut kemudian dij