How Latest Computer Science Research Copes with COVID-19?

Leila Bayoudhi; Najla Sassi; Wassim Jaziri

doi:10.1007/978-3-030-96308-8_112

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Conference proceeding

How Latest Computer Science Research Copes with COVID-19?

Leila Bayoudhi, Najla Sassi and Wassim Jaziri

INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, ISDA 2021, Vol.418, pp.1207-1215

Lecture Notes in Networks and Systems

01/01/2022

DOI: https://doi.org/10.1007/978-3-030-96308-8_112

Abstract

Computer Science

Computer Science, Artificial Intelligence

Computer Science, Theory & Methods

Science & Technology

Technology

Towards the end of 2019, one of the most dangerous viruses in human history emerged. This is the SARS CoV-2 coronavirus, responsible for COVID-19. This virus, originally spread from the Chinese city of Wuhan, continues to propagate all over the world and cause considerable loss of life. Since that time, several investigations have been carried out, not only in medicine, but also in computer science and related fields. This paper aims at reviewing the latest work on the infectious disease COVID-19 in order to identify the latest techniques, datasets, and tools that have been developed. In particular, we examine the latest approaches and tools in three trending fields, namely Deep Learning, Geographic Information Systems and Knowledge-Based Systems.

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Title: How Latest Computer Science Research Copes with COVID-19?
Creators - without role: Leila Bayoudhi - University of Sfax
Najla Sassi - Taibah University
Wassim Jaziri - Taibah University
Contributors - without role: A Abraham
N Gandhi
T Hanne
T P Hong
T N Rios
W Ding
Publication Details: INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, ISDA 2021, Vol.418, pp.1207-1215
Series: Lecture Notes in Networks and Systems
Publisher: Springer Nature
Number of pages: 9
Identifiers: 9929573708331
Academic Unit: Taibah University
Language: English
Resource Type: Conference proceeding