Dwivedi, P and Sarkar, AK and Chakraborty, C and Singha, M and Rojwal, V (2021) Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects. In: Journal of Experimental and Theoretical Artificial Intelligence .
Full text not available from this repository.Abstract
Coronavirus disease (COVID-19) pandemic has intensively damaged human socio-economic lives and the growth of countries around the world. Many efforts have been made in the direction of artificial intelligence (AI) techniques to detect the corona at an early stage and take necessary precautions to stop it from spreading or recovery from the infection. However, the situation and solutions are still challenging. In this paper, we proposed various technological aspects, solutions using a supervised/unsupervised manner and continuous health monitoring with physiological parameters. Finally, the performance of COVID-19 detection with Gaussian mixture model-universal background model (GMM-UBM) technique using the voice signal has been demonstrated. The developed system achieves the COVID-19 detection performance in terms of areas under receiver operating characteristic (ROC) curves in the range 60�67. Moreover, the various lessons learned from the current COVID-19 crisis are presented for future directions. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
| Item Type: | Journal Article |
|---|---|
| Publication: | Journal of Experimental and Theoretical Artificial Intelligence |
| Publisher: | Taylor and Francis Ltd. |
| Additional Information: | The copyright for this article belongs to Taylor and Francis Ltd. |
| Keywords: | Gaussian distribution; Physiological models; Speech recognition, Detection performance; Future prospects; Gaussian mixture model-universal background models; Health monitoring; Physiological parameters; Receiver operating characteristic curves; Socio-economics; Technological aspects, Artificial intelligence |
| Department/Centre: | Division of Mechanical Sciences > Chemical Engineering |
| Date Deposited: | 21 Nov 2021 16:27 |
| Last Modified: | 21 Nov 2021 16:27 |
| URI: | http://eprints.iisc.ac.in/id/eprint/69927 |
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