Intan Nurma Yulita
About
Intan Nurma Yulita has authored 37 papers that have received a total of 127 indexed citations.
This includes 13 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are COVID-19 diagnosis using AI (7 papers), Data Mining and Machine Learning Applications (7 papers) and Information Retrieval and Data Mining (4 papers). Intan Nurma Yulita is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Data Mining and Machine Learning Applications (7 papers) and Information Retrieval and Data Mining (4 papers) and collaborates with scholars based in Indonesia, Saudi Arabia and United Kingdom. Intan Nurma Yulita's co-authors include Atje Setiawan Abdullah, Yusa Djuyandi, Anton Satria Prabuwono, Mohamad Ivan Fanany and Sinan Jasim Hadi and has published in prestigious journals such as Applied Sciences, ISPRS International Journal of Geo-Information and Journal of Health Population and Nutrition
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