文献
J-GLOBAL ID:202202231927458629
整理番号:22A0827744
指数および非線形成長モデルを用いたCOVID-19活性事例の予測【JST・京大機械翻訳】
Prediction of COVID-19 active cases using exponential and non-linear growth models
著者 (6件):
Mahanty Chandrakanta
(Department of Computer Science and Engineering, GIET University, Gunupur, India)
,
Kumar Raghvendra
(Department of Computer Science and Engineering, GIET University, Gunupur, India)
,
Mishra Brojo Kishore
(Department of Computer Science and Engineering, GIET University, Gunupur, India)
,
Hemanth D. Jude
(Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India)
,
Gupta Deepak
(Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India)
,
Khanna Ashish
(Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India)
資料名:
Expert Systems
(Expert Systems)
巻:
39
号:
3
ページ:
e12648
発行年:
2022年
JST資料番号:
T0510A
ISSN:
0266-4720
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)