Zobrazeno 1 - 10
of 83 295
pro vyhledávání: '"Putri IS"'
Publikováno v:
ZAHRA, Vol 4, Iss 1, Pp 81-97 (2023)
This study aims to analyze the application of self-regulated learning as a strategy to build student independence by using several approaches to improve students' independent learning abilities in tertiary institutions. This research uses a qualitati
Externí odkaz:
https://doaj.org/article/c7d4193c745a41ee8082d5207d740a41
Publikováno v:
Agroradix, Vol 6, Iss 1, Pp 12-20 (2022)
Porang is a tuber plant that has the opportunity to be developed in Indonesia. Efforts have been made to increase the production potential of porang, including through nurseries. The purpose of this study was to determine the effect of tuber origin a
Externí odkaz:
https://doaj.org/article/494c1bcad03a4e27a56e5833fed046d2
Autor:
van der Linden, Putri A., García-Castellanos, Alejandro, Vadgama, Sharvaree, Kuipers, Thijs P., Bekkers, Erik J.
Publikováno v:
Advances in Neural Information Processing Systems (NeurIPS) 2024
Group equivariance has emerged as a valuable inductive bias in deep learning, enhancing generalization, data efficiency, and robustness. Classically, group equivariant methods require the groups of interest to be known beforehand, which may not be re
Externí odkaz:
http://arxiv.org/abs/2412.04594
This study investigates the economic dispatch and optimal power flow (OPF) for microgrids, focusing on two configurations: a single-bus islanded microgrid and a three-bus grid-tied microgrid. The methodologies integrate renewable energy sources (sola
Externí odkaz:
http://arxiv.org/abs/2411.19279
This paper delves into the widespread implementation of Electronic Medical Records (EMR) within healthcare facilities across Indonesia. It examines the driving forces behind EMR adoption, particularly the role of government regulations, and addresses
Externí odkaz:
http://arxiv.org/abs/2410.12226
Autor:
Winata, Genta Indra, Hudi, Frederikus, Irawan, Patrick Amadeus, Anugraha, David, Putri, Rifki Afina, Wang, Yutong, Nohejl, Adam, Prathama, Ubaidillah Ariq, Ousidhoum, Nedjma, Amriani, Afifa, Rzayev, Anar, Das, Anirban, Pramodya, Ashmari, Adila, Aulia, Wilie, Bryan, Mawalim, Candy Olivia, Cheng, Ching Lam, Abolade, Daud, Chersoni, Emmanuele, Santus, Enrico, Ikhwantri, Fariz, Kuwanto, Garry, Zhao, Hanyang, Wibowo, Haryo Akbarianto, Lovenia, Holy, Cruz, Jan Christian Blaise, Putra, Jan Wira Gotama, Myung, Junho, Susanto, Lucky, Machin, Maria Angelica Riera, Zhukova, Marina, Anugraha, Michael, Adilazuarda, Muhammad Farid, Santosa, Natasha, Limkonchotiwat, Peerat, Dabre, Raj, Audino, Rio Alexander, Cahyawijaya, Samuel, Zhang, Shi-Xiong, Salim, Stephanie Yulia, Zhou, Yi, Gui, Yinxuan, Adelani, David Ifeoluwa, Lee, En-Shiun Annie, Okada, Shogo, Purwarianti, Ayu, Aji, Alham Fikri, Watanabe, Taro, Wijaya, Derry Tanti, Oh, Alice, Ngo, Chong-Wah
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate their understanding of such knowledge, we introduce WorldCuisines, a mas
Externí odkaz:
http://arxiv.org/abs/2410.12705
A graph has a locating rainbow coloring if every pair of its vertices can be connected by a path passing through internal vertices with distinct colors and every vertex generates a unique rainbow code. The minimum number of colors needed for a graph
Externí odkaz:
http://arxiv.org/abs/2410.09304
Autor:
Putri, Dian U. P.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Oct 01. 28(10s), 111-117.
Externí odkaz:
https://www.jstor.org/stable/27339839
Autor:
Cahyawijaya, Samuel, Lovenia, Holy, Koto, Fajri, Putri, Rifki Afina, Dave, Emmanuel, Lee, Jhonson, Shadieq, Nuur, Cenggoro, Wawan, Akbar, Salsabil Maulana, Mahendra, Muhammad Ihza, Putri, Dea Annisayanti, Wilie, Bryan, Winata, Genta Indra, Aji, Alham Fikri, Purwarianti, Ayu, Fung, Pascale
Large language models (LLMs) show remarkable human-like capability in various domains and languages. However, a notable quality gap arises in low-resource languages, e.g., Indonesian indigenous languages, rendering them ineffective and inefficient in
Externí odkaz:
http://arxiv.org/abs/2404.06138
Conformal prediction offers a practical framework for distribution-free uncertainty quantification, providing finite-sample coverage guarantees under relatively mild assumptions on data exchangeability. However, these assumptions cease to hold for ti
Externí odkaz:
http://arxiv.org/abs/2406.16766