找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis; Subhendu Kumar Pani,Sujata Dash,Fran

[复制链接]
楼主: 是英寸
发表于 2025-3-26 22:15:07 | 显示全部楼层
发表于 2025-3-27 03:23:24 | 显示全部楼层
https://doi.org/10.1007/978-1-4842-4982-6o giving an impetus to therapeutics action plans due to identification of COVID-19 biomarkers. This has also paved the path for bioinformatics strategies for drug repurposing to combat this dreadful infection..This chapter focuses on the various bioinformatics and computational tools developed and u
发表于 2025-3-27 05:31:12 | 显示全部楼层
发表于 2025-3-27 12:30:42 | 显示全部楼层
发表于 2025-3-27 16:06:23 | 显示全部楼层
Fluvial geomorphology of north-east England,alled HECERA). Second, the study helps in distinguishing key factors of blockchain-backed data and centralized data. Third, the COVID-19 data provided by Mipasa is analyzed and knowledge tree of COVID-19 cases is generated to visualize the COVID-19 situation of most affected places in the world, the
发表于 2025-3-27 18:56:21 | 显示全部楼层
发表于 2025-3-28 01:42:52 | 显示全部楼层
https://doi.org/10.1007/978-94-011-5816-9to lead the decision-making during the pandemic. Several initiatives have made use of Artificial Intelligence, and models were designed using machine learning algorithms with features for temporal and spatio-temporal investigation and prediction of cases of Covid-19. Among the algorithms used are Su
发表于 2025-3-28 03:36:44 | 显示全部楼层
发表于 2025-3-28 08:22:46 | 显示全部楼层
发表于 2025-3-28 14:09:23 | 显示全部楼层
http://image.papertrans.cn/b/image/163227.jpg
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-10 14:09
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表