Author:
Awotunde Joseph Bamidele,Ajagbe Sunday Adeola,Idowu Ifedotun Roseline,Ndunagu Juliana Ngozi
Publisher
Springer International Publishing
Reference74 articles.
1. Awotunde, J. B., Folorunso, S. O., Jimoh, R. G., Adeniyi, E. A., Abiodun, K. M., & Ajamu, G. J. (2021). Application of Artificial Intelligence for COVID-19 Epidemic: An Exploratory Study, Opportunities, Challenges, and Future Prospects. Studies in Systems, Decision and Control, 2021, 358, pp. 47–61.
2. Asai, A., Konno, M., Ozaki, M., Otsuka, C., Vecchione, A., Arai, T., … Taniguchi, M. (2020). COVID-19 drug discovery using intensive approaches. International Journal of Molecular Sciences, 21(8), 2839.
3. Zivkovic, M., Bacanin, N., Venkatachalam, K., Nayyar, A., Djordjevic, A., Strumberger, I., & Al-Turjman, F. (2021). COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach. Sustainable Cities and Society, 66, 102669.
4. Devi, A., & Nayyar, A. (2021). Perspectives on the definition of data visualization: A mapping study and discussion on coronavirus (COVID-19) dataset. Emerging Technologies for Battling Covid-19: Applications and Innovations, 223–240. https://doi.org/10.1007/978-030-60039-6_11
5. Joyia, G. J., Liaqat, R. M., Farooq, A., & Rehman, S. (2017). Internet of Medical Things (IoMT): applications, benefits, and future challenges in the healthcare domain. The Journal of Communication, 12(4), 240–247.
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