Advanced Intelligent Systems and Data Engineering to Defeat COVID-19 Outbreak
A special issue of Applied System Innovation (ISSN 2571-5577). This special issue belongs to the section "Medical Informatics and Healthcare Engineering".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 15663
Special Issue Editors
Interests: IoT devices; photovoltaic devices; STEM education
Special Issues, Collections and Topics in MDPI journals
Interests: internet of objects; data mining; brain–computer interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by a newly discovered coronavirus. The World Health Organization has announced that COVID-19 is a pandemic which has now become an international public health emergency. The COVID-19 pandemic is dramatically impacting the population and healthcare systems across the world.
In data science, this represents a typical problem of deep learning over incomplete or limited data in the early stage of an epidemic. Over the last decades, numerous machine-learning—including deep-learning—algorithms have been developed for dealing with various health-related problems. Given the proliferation of such approaches, it is important to have a thorough understanding of their value, usability and applicability in the fight against COVID-19 to minimize the loss of human lives, societal costs and economic losses caused by this infectious disease.
This Special Issue provides a platform for authors from various disciplines to disseminate crucial information, aiming to gather a selection of papers presenting original and innovative contributions in the field of data engineering and intelligent systems approaches for detecting, assessing and predicting the outbreak of the COVID-19 virus. Potential topics include, but are not limited to:
- Innovations in intelligent systems for detecting COVID-19;
- Mathematical control theories and systems to predict the epidemic of COVID-19;
- Computer-aided methods to predict the epidemic of COVID-19;
- Intelligent robots and their control on the detection and defeat of COVID-19;
- Application of Internet of Things on the detection of COVID-19;
- Big data and cloud computing on the prediction of the COVID-19 epidemic.
Prof. Dr. Teen-Hang Meen
Prof. Dr. Charles Tijus
Guest Editors
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