Academic Journal
An investigation of multivariate data-driven deep learning models for predicting COVID-19 variants
| العنوان: | An investigation of multivariate data-driven deep learning models for predicting COVID-19 variants |
|---|---|
| المؤلفون: | Baihaqi, Akhmad Dimitri, Yudistira, Novanto, Santoso, Edy |
| المصدر: | Healthcare Analytics ; volume 5, page 100331 ; ISSN 2772-4425 |
| بيانات النشر: | Elsevier BV |
| سنة النشر: | 2024 |
| المجموعة: | ScienceDirect (Elsevier - Open Access Articles via Crossref) |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1016/j.health.2024.100331 |
| الاتاحة: | http://dx.doi.org/10.1016/j.health.2024.100331 https://api.elsevier.com/content/article/PII:S2772442524000339?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S2772442524000339?httpAccept=text/plain |
| Rights: | https://www.elsevier.com/tdm/userlicense/1.0/ ; https://www.elsevier.com/legal/tdmrep-license ; http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.9D5D1DEC |
| قاعدة البيانات: | BASE |
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