Author:
Badshah Shah Hussain,Imad Muhammad,Khan Irfan Ullah,Hassan Muhammad Abul
Publisher
Springer International Publishing
Reference25 articles.
1. Ullah, S. I., Salam, A., Ullah, W., & Imad, M. (2021). COVID-19 lung image classification based on logistic regression and support vector machine. In European, Asian, Middle Eastern, North African conference on management & information systems. Springer, pp. 13–23.
2. Imad, M., Khan, N., Ullah, F., Hassan, M. A., & Hussain, A. (2020). COVID-19 classification based on Chest X-ray images using machine learning techniques. Journal of Computer Science and Technology Studies, 2(2), 01–11.
3. Hussain, A., Imad, M., Khan, A., & Ullah, B. (2022). Multi-class classification for the identification of COVID-19 in X-ray images using customized efficient neural network. In AI and IoT for sustainable development in emerging countries (pp. 473–486). Available: https://doi.org/10.1007/978-3-030-90618-4_23
4. Imad, M., Hussain, A., Hassan, M., Butt, Z., & Sahar, N. (2022). IoT based machine learning and deep learning platform for COVID-19 prevention and control: A systematic review. In AI and IoT for sustainable development in emerging countries (pp. 523–536). Available: https://doi.org/10.1007/978-3-030-90618-4_26
5. Rustam, F., Khalid, M., Aslam, W., Rupapara, V., Mehmood, A., & Choi, G. (2021). A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis. PLOS ONE, 16(2), e0245909. Available: https://doi.org/10.1371/journal.pone.0245909
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献