Investigation of Statistical and Machine Learning Models for COVID-19 Prediction

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Investigation of Statistical and Machine Learning Models for COVID-19 Prediction
Συγγραφείς:	Saggu, Joydeep^Aff13, Bansal, Ankita^Aff13
Συνεισφορές:	Kacprzyk, Janusz, Series Editor^Aff1, Gomide, Fernando, Advisory Editor^Aff2, Kaynak, Okyay, Advisory Editor^Aff3, Liu, Derong, Advisory Editor^Aff4, Pedrycz, Witold, Advisory Editor^Aff5, Polycarpou, Marios M., Advisory Editor^Aff6, Rudas, Imre J., Advisory Editor^Aff7, Wang, Jun, Advisory Editor^Aff8, Swaroop, Abhishek, editor^Aff9, Polkowski, Zdzislaw, editor^Aff10, Correia, Sérgio Duarte, editor^Aff11, Virdee, Bal, editor^Aff12
Πηγή:	Proceedings of Data Analytics and Management : ICDAM 2023, Volume 4. 788:181-189
Βάση Δεδομένων:	Springer Nature eBooks

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