Application of optimal subset regression and stacking hybrid models to estimate COVID-19 cases in Dhaka, Bangladesh

Author:

Islam Abu Reza Md. TowfiqulORCID,Elbeltagi Ahmed,Mallick Javed,Fattah Md. Abdul,Roy Manos Chandro,Pal Subodh Chandra,Shahjaman Md,Patwary Masum A.

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference50 articles.

1. ADB (2021) Bangladesh Climate and Disaster Risk Atlas. Asian Development Bank. Mandaluyong City, Philippines. https://www.adb.org/sites/default/files/publication/760776/bangladesh-climate-disaster-risk-atlas-volume1-cover-pg29.pdf.Accessed 2 Dec 2021

2. Ahmed MM, Hoque ME, Rahman S et al (2022) Prediction of COVID-19 cases from the nexus of air quality and meteorological phenomena: Bangladesh perspective. Earth Syst Environ 6:307–325. https://doi.org/10.1007/s41748-021-00278-7

3. Alali Y, Harrou F, Sun Y (2022) A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models. Sci Rep 12:2467. https://doi.org/10.1038/s41598-022-06218-3

4. Al-Hasib A, Argha DBP (2021) Covid-19: Lack of coronavirus wastes management- an upcoming threat for the megacity Dhaka. 6th International Conference on Engineering Research, Innovation and Education. Sylhet, Bangladesh, pp 642–648

5. Ali M, Talha A, Berkouk EM (2020) New M5P model tree-based control for doubly fed induction generator in wind energy conversion system. Wind Energy 23(9):1831–1845. https://doi.org/10.1002/we.2519

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