Zobrazeno 1 - 10
of 8 208
pro vyhledávání: '"Kurniawati A"'
Autor:
Bimasena Putra, Kurniawati Azizah, Candy Olivia Mawalim, Ikhlasul Akmal Hanif, Sakriani Sakti, Chee Wee Leong, Shogo Okada
Publikováno v:
IEEE Access, Vol 12, Pp 145188-145205 (2024)
Potential biases within automated video interview assessment algorithms may disadvantage specific demographics due to the collection of sensitive attributes, which are regulated by the General Data Protection Regulation (GDPR). To mitigate these fair
Externí odkaz:
https://doaj.org/article/2dbb3cb8e5334eee89b76ac03645fecc
Autor:
Kurniawati Azizah
Publikováno v:
IEEE Access, Vol 12, Pp 63528-63547 (2024)
Deep neural network based text-to-speech (TTS) technology has brought advances in speech synthesis approaching the quality of human speech sounds. Zero-shot voice cloning TTS is a system that accepts input in the form of text and a few seconds of a s
Externí odkaz:
https://doaj.org/article/d78eac9ed7424e13988c7bd9d48e80c7
Publikováno v:
E3S Web of Conferences, Vol 483, p 01013 (2024)
The paper aimed to present the spatio-temporal of NO2 Density Weighting during the period April 2022 – March 2023 (1 year) with weighting model in The Region of Malang, East Java Province, Indonesia. It is based on the remote sensing data of Sentin
Externí odkaz:
https://doaj.org/article/d18a5a34d64147b4b425e4718943532a
Publikováno v:
BIO Web of Conferences, Vol 88, p 00036 (2024)
This study aimed to evaluate the effect of nutmeg meal as a source of phenol on the abundance of dominant microbes in the biohydrogenation process and the fatty acid profile of goat rumen fluid in vitro. This study used a randomized complete block de
Externí odkaz:
https://doaj.org/article/f9ef2518ef50475d8062307e97e15b23
Autor:
Kurniawati Azizah, Wisnu Jatmiko
Publikováno v:
IEEE Access, Vol 10, Pp 5895-5911 (2022)
Deep neural network (DNN)-based systems generally require large amounts of training data, so they have data scarcity problems in low-resource languages. Recent studies have succeeded in building zero-shot multi-speaker DNN-based TTS on high-resource
Externí odkaz:
https://doaj.org/article/b7fce48ac7b14c24880e694c25a4bd25
Autor:
Liang, Yuanchu, Kim, Edward, Thomason, Wil, Kingston, Zachary, Kurniawati, Hanna, Kavraki, Lydia E.
Partially Observable Markov Decision Processes (POMDPs) are a general and principled framework for motion planning under uncertainty. Despite tremendous improvement in the scalability of POMDP solvers, long-horizon POMDPs (e.g., $\geq15$ steps) remai
Externí odkaz:
http://arxiv.org/abs/2411.07032
Autor:
Adila, Aulia, Lestari, Dessi, Purwarianti, Ayu, Tanaya, Dipta, Azizah, Kurniawati, Sakti, Sakriani
An ideal speech recognition model has the capability to transcribe speech accurately under various characteristics of speech signals, such as speaking style (read and spontaneous), speech context (formal and informal), and background noise conditions
Externí odkaz:
http://arxiv.org/abs/2410.08828
Publikováno v:
Russian Journal of Agricultural and Socio-Economic Sciences, Vol 99, Iss 3, Pp 135-142 (2020)
This study aims to analyze the effect of trust and ICT (information and communication technology) on supply chain collaboration with commitment as a moderating variable in the SMEs Screen Printing Yogyakarta City. The variables used in this study are
Externí odkaz:
https://doaj.org/article/122277e4e9bf483fb997182956f37f9d
Publikováno v:
IEEE Access, Vol 8, Pp 179798-179812 (2020)
This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages. DNN-based system typically requires a large amount of training data. In recent years, while
Externí odkaz:
https://doaj.org/article/9a68402e86984b9d8c52cec2298d2fbb
Autor:
Iswahyudi Iswahyudi, Widodo Wahyu, Warkoyo Warkoyo, Hendroko Setyobudi Roy, Sutanto Adi, Vincēviča-Gaile Zane, Wedyan Mohammed, Anwar Shazma, Yuniati Sri, Basir Adil, Said Azwin, Putra Garfansa Marcel, Arista Cipta Ekalaturrahmah Yenni, Yunita Emi, Sustiyana Sustiyana, Mukamilah Sitti, Shoimus Sholeh Mohammad, Taufiq Shidqi Muhammad, Fauzi Ahmad, Fawaid Akh, Kurniawati Ari, Baihaqi Baihaqi, Agung Prahardika Bayu, Haris Mustaqim Muhammad
Publikováno v:
E3S Web of Conferences, Vol 432, p 00015 (2023)
Compost is considered not only to improve soil nutrients but also as a carrier of microplastic (MPs) pollution on agricultural land. Bibliometric analysis is a quantitative review approach that employs statistics, data mining, and mathematics to iden
Externí odkaz:
https://doaj.org/article/e177dfa77d6441038e1fe65e1c56aea3