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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Tabassum, Tahia, Rahman, Saiham, Mahmood, Moosfiqur Hassan, Siam, Md. Fahim, Mumu, Sadia Anika
Άλλοι συγγραφείς:	Alam, Md. Golam Rabiul
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2021
Θέματα:	COVID-19 LSTM Air Pollution K-Means Clustering COVID-19 Mortality Regression COVID-19 Lockdowns COVID-19 (Disease)
Διαθέσιμο Online:	http://hdl.handle.net/10361/15400

http://hdl.handle.net/10361/15400

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