Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Nurrohmah, Siti"'
Sentiment analysis is the computational study of opinions and emotions ex-pressed in text. Deep learning is a model that is currently producing state-of-the-art in various application domains, including sentiment analysis. Many researchers are using
Externí odkaz:
http://arxiv.org/abs/2211.05273
Publikováno v:
In Applied Soft Computing January 2024 151
Publikováno v:
ITM Web of Conferences, Vol 61, p 01012 (2024)
Lifetime data is a type of data that consists of waiting time until an event occurs. Some of the events of lifetime data are deaths, occurrence of a disease, or failure of a machine. The distribution usually used for modeling lifetime data is the Wei
Externí odkaz:
https://doaj.org/article/0993222613ef4331bf559a8c1673346c
Publikováno v:
ITM Web of Conferences, Vol 61, p 01009 (2024)
Lifetime data analysis has an essential role in various fields of science. In general, lifetime data have a skewed distribution pattern. The Weibull distribution is one of the most frequently used distributions for modeling lifetime data. However, th
Externí odkaz:
https://doaj.org/article/8e49e3b3b1d54ddab1896ef97e172dcb
Autor:
Nurrohmah, Siti, Andrian, Rian
Publikováno v:
Jurnal Teknologi dan Informasi; Vol 13 No 1 (2023): Jurnal Teknologi dan Informasi (JATI); 29-43
Jurnal Teknologi dan Informasi (JATI); Vol 13 No 1 (2023): Jurnal Teknologi dan Informasi (JATI); 29-43
Jurnal Teknologi dan Informasi (JATI); Vol 13 No 1 (2023): Jurnal Teknologi dan Informasi (JATI); 29-43
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Publikováno v:
IOP Conference Series: Earth & Environmental Science; 2021, Vol. 810, p1-8, 8p
Publikováno v:
IOP Conference Series: Earth & Environmental Science; 2021, Vol. 810, p1-5, 5p
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Publikováno v:
Vlakna a Textil; Jun2019, Vol. 26 Issue 2, p69-73, 5p
Publikováno v:
Journal of Tropical Forest Management / Jurnal Manajemen Hutan Tropika; 2018, Vol. 24 Issue 3, p136-143, 8p