Editorial: Intelligent Signal Analysis for Contagious Virus Diseases

Bjorn W Schuller; Yonina Eldar; Maja Pantic; Shrikanth Narayanan; Tuomas Virtanen; Jianhua Tao

doi:10.1109/JSTSP.2022.3160023

Back

Editorial: Intelligent Signal Analysis for Contagious Virus Diseases

Journal article

an open version is available

Peer reviewed

Editorial: Intelligent Signal Analysis for Contagious Virus Diseases

Bjorn W Schuller, Yonina Eldar, Maja Pantic, Shrikanth Narayanan, Tuomas Virtanen and Jianhua Tao

IEEE journal of selected topics in signal processing, Vol.16(2), pp.159-163

Feb/2022

DOI: https://doi.org/10.1109/JSTSP.2022.3160023

Files and links (1)

url

https://doi.org/10.1109/JSTSP.2022.3160023View

Published (Version of record)Free to read and download, Open Access

Abstract

COVID-19 infection’s recent outbreak triggered by the SARS-CoV-2 Corona virus had already led to more than two million reported infected individuals when we first addressed the community by our call – by now, the number sadly rose to roughly half a billion cases worldwide. The outbreak of COIVD-19 has also re-shaped and accelerated the scientific publication landscape in no time. One can observe a massive uprise in interest in work related to the topic of highly contagious virus diseases and potential contributions of digital health including intelligent signal processing. In addition, most publishers have reacted in one or the other way to the crises such as by opening up to pre-prints, waiving publication fees for COVID-19-related research, providing search functions and tools for COVID-19 research, and many more. Here, we gathered 13 carefully selected novel contributions across signal types such as audio, speech, image, video, or symbolic information, as well as their multimodal combination for application in the risk assessment, diagnosis, and monitoring of contagious virus diseases.

Coronaviruses

COVID-19

Data models

Deep learning

Pandemics

Predictive models

Special issues and sections

Temperature measurement

Radar Tracking

Signal Processing

Details

Title: Editorial: Intelligent Signal Analysis for Contagious Virus Diseases
Creators: Bjorn W Schuller - Artificial Intelligence and head of GLAM at the Imperial College London, U.K
Yonina Eldar - 972WIS_INST___83
Maja Pantic - Samsung AI Centre in Cambridge (SAIC), U.K
Shrikanth Narayanan - University of Southern California, USA
Tuomas Virtanen - Tampere University of Technology (TUT), Finland
Jianhua Tao - Nanjing University, China
Resource Type: Journal article
Publication Details: IEEE journal of selected topics in signal processing, Vol.16(2), pp.159-163; Feb/2022
Publisher: IEEE
Language: English
DOI: https://doi.org/10.1109/JSTSP.2022.3160023
Grant note: This special issue came to live thanks to the efforts of many, ultimately across the entire research community. First, we thank the IEEE Journal of Selected Topics in Signal Processing team, in particular the Editor-in-Chief, Xiao-Ping Zhang, as well as Mikaela Langdon and Shannon Campos for helping with the organisation and production of this issue. Most notably, we also thank the manifold reviewers for their great work during the repeated revision rounds. Without greatest quality review, which often comes at bigger sacrifice in time, it seems impossible to reach the great quality of articles the situation requires. Finally, we thank all the authors for their great contributions.
Record Identifier: 993358543603596

Metrics

3 Record Views