Abstract
Internet of Things (IoT) has become one of the important components in developing interconnected smart IoT devices. Data generated from the IoT devices increases rapidly due to the increase in the number of connected devices. The current COVID-19 outbreak condition has led to the need of the Healthcare IoT (H-IoT), which can provide an automatic solution for monitoring. Therefore, IoT data is extremely crucial to be analyzed. Artificial Intelligence (AI) has gained a lot of attentions for automatizing applications based on the big data generated from the IoT devices. This chapter presents the current development of AI applications for monitoring the pandemic. The role of IoT, data acquisition, preprocessing, and analysis is also described here. In depth, we elucidate few methods of data preprocessing using conventional techniques and Machine Learning (ML) algorithms, and data analysis using ML and Deep Learning (DL) algorithms. We list all techniques in handling data preprocessing and analysis, and the challenges of IoT and AI in the new way of living during pandemic which is also known as the era of new normal.
Original language | English |
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Title of host publication | EAI/Springer Innovations in Communication and Computing |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 33-49 |
Number of pages | 17 |
DOIs | |
State | Published - 2022 |
Publication series
Name | EAI/Springer Innovations in Communication and Computing |
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ISSN (Print) | 2522-8595 |
ISSN (Electronic) | 2522-8609 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Artificial intelligence
- COVID-19
- Deep learning
- IoT
- Machine learning