Zobrazeno 1 - 10
of 260
pro vyhledávání: '"R Sandra"'
Autor:
Bambang Setiyohadi, M S Azizi, Ika Wulan Yuliani, N Sukmana, Suhendro Suhendro, M Simadibrata, C Matin Rumende, A S Sulaiman, R Wahyuningsih, Lisnawati Lisnawati, M A Yudharto, N Anggraini, F Oktaviana, R Sandra
Publikováno v:
Indonesian Journal of Rheumatology, Vol 2, Iss 2 (2018)
Systemic lupus erythematosus (SLE) is an autoimmune disease with a broad clinical manifestation characterized by production of antibodies against cellular nuclear components. The prevalence of SLE among many countries is variable, ranging from 2.9 to
Externí odkaz:
https://doaj.org/article/26216ad544b34d4ca1cde1d070391bb3
Autor:
Jiang, Tianyu, Vinogradova, Sonia, Stringham, Nathan, Earl, E. Louise, Hollander, Allan D., Huber, Patrick R., Riloff, Ellen, Schillo, R. Sandra, Ubbiali, Giorgio A., Lange, Matthew
Our research explores the use of natural language processing (NLP) methods to automatically classify entities for the purpose of knowledge graph population and integration with food system ontologies. We have created NLP models that can automatically
Externí odkaz:
http://arxiv.org/abs/2309.10880
Autor:
Fatemi, Hajar, Kao, Erica, Schillo, R. Sandra, Li, Wanyu, Du, Pan, Jian-Yun, Nie, Dube, Laurette
Publikováno v:
British Food Journal, 2023, Vol. 125, Issue 9, pp. 3145-3159.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BFJ-06-2022-0511
Autor:
Quitral V, Mónica, Mena D, José A., Manriquez C, Loreto, Mela S, María José, Ammann R, Romina, Navarrete M, Louise, Montedónico R, Sandra
Publikováno v:
In Journal of Pediatric Surgery Open December 2023 4
Autor:
Vicky Zilvan, Ade Ramdan, Ana Heryana, Dikdik Krisnandi, Endang Suryawati, R. Sandra Yuwana, R. Budiarianto S. Kusumo, Hilman F. Pardede
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3332-3342 (2022)
It is common to have various clones from cross-seedlings or unintended planting by the farmers in a tea plantation. Since each tea clone has distinctive features such as quality, resistance to diseases, etc., visual inspections are usually conducted
Externí odkaz:
https://doaj.org/article/a442bfac9146424bbb8cceaaa07b10f0
Autor:
Zilvan, Vicky, Ramdan, Ade, Heryana, Ana, Krisnandi, Dikdik, Suryawati, Endang, Yuwana, R. Sandra, Kusumo, R. Budiarianto S., Pardede, Hilman F.
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences June 2022 34(6) Part B:3332-3342
Autor:
Beaudoin, Christine, Joncoux, Steve, Jasmin, Jean-François, Berberi, Albana, McPhee, Chris, Schillo, R. Sandra, Nguyen, Vivian M.
Publikováno v:
In Environmental Challenges April 2022 7
Autor:
Rodríguez R., Sandra L. *, Díaz A., Jorge H., Hernández H., Luis S., Pérez-Gutiérrez, Francisco G., Zhilyaev, Alexander P., Calvo, Jessica, Cabrera, José-María
Publikováno v:
In Journal of Materials Research and Technology November-December 2020 9(6):13185-13195
Autor:
R. Sandra Yuwana, Fani Fauziah, Ana Heryana, Dikdik Krisnandi, R. Budiarianto Suryo Kusumo, Hilman F. Pardede
Publikováno v:
Jurnal Elektronika dan Telekomunikasi, Vol 20, Iss 1, Pp 29-35 (2020)
Deep learning technology has a better result when trained using an abundant amount of data. However, collecting such data is expensive and time consuming. On the other hand, limited data often be the inevitable condition. To increase the number of da
Externí odkaz:
https://doaj.org/article/0aa51d1b9a814a92be78659902893b91
Autor:
Hilman F. Pardede, Endang Suryawati, Vicky Zilvan, Ade Ramdan, R. Budiarianto S. Kusumo, Ana Heryana, R. Sandra Yuwana, Dikdik Krisnandi, Agus Subekti, Fani Fauziah, Vitria P. Rahadi
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-21 (2020)
Abstract At the moment, there are increasing trends of using deep learning for plant diseases detection. However, their implementations may be difficult in developing countries due to several reasons. First, existing deep learning models are usually
Externí odkaz:
https://doaj.org/article/354f295f8d28498fb6624b02ebeef5c7