Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliographische Detailangaben
Hauptverfasser:	Tabassum, Tahia, Rahman, Saiham, Mahmood, Moosfiqur Hassan, Siam, Md. Fahim, Mumu, Sadia Anika
Weitere Verfasser:	Alam, Md. Golam Rabiul
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2021
Schlagworte:	COVID-19 LSTM Air Pollution K-Means Clustering COVID-19 Mortality Regression COVID-19 Lockdowns COVID-19 (Disease)
Online Zugang:	http://hdl.handle.net/10361/15400

Beschreibung
Zusammenfassung:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

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