基于星形图 SATL 的冠状病毒感染者的不显性发现

Q4 Mathematics
V. Sudhakar, G. Maheswari, S. Obaiys, S. M. Prabhu, P. Chellamani, V. Balaji
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引用次数: 0

摘要

虽然这场大流行病在马来西亚造成了许多差异,夺去了许多人的生命,但它在某种程度上巩固了被破坏的人际关系,当科学技术的飞速发展满足了新的视野时,人类实际上是在发展一座空岛。新常态让最文明的民族噤若寒蝉,也让我们思考做人和分享人性的必要性。由于科学技术的发展,人们开始重新回归自然,社会距离也出现了新的变化,人们可以通过虚拟的方式与亲朋好友见面。这项工作通过 SATL 图标注技术对顶点和边进行标注,从而通过图标注分析特定地方受 covid-19 影响人群的数据。这种标签支持按优先顺序搜索有多少邻居受到了 covid-19 的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inconspicuous Discovery of Coronavirus Infected People Based SATL of Star Graphs
Though the pandemic has created many discrepancies and cos-ted many lives in Malaysia, it has in one way cemented the breached relationships, while the rapid development of science and technology met new horizons, humans were actually developing an island of a void. But this pandemic has made humans stop and think about bridging the gaps which are the side effects of globalization.The new normal condition which keeps the most civilized race indoors, also deliberates the necessity of being human and sharing humanity. Thanks to the same scientific and technological developments a new return to nature has happened, and social distancing takes a new turn of meeting nears and dears virtually. This work analyzes the data of covid-19 affected people in a particular place through graph labeling that labels the vertices with edges via SATL graph labeling techniques. Such labeling supports the search of how many neighbours are affected covid-19 in priority order.
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CiteScore
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