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Journal of Computer and Communications
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Journal of Computer and Communications
ISSN Print:
2327-5219
ISSN Online:
2327-5227
www.scirp.org/journal/jcc
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"
Statistical and Machine Learning Methods for Vaccine Demand Forecasting: A Comparative Analysis
"
written by
Rachel T. Alegado, Gilbert M. Tumibay
,
published by
Journal of Computer and Communications
,
Vol.8 No.10, 2020
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
The Potential Of AutoML For Demand Forecasting
Proceedings of the …
,
2022
[2]
Tock Market Forecasting Based on Machine Learning Approach of ARIMA Model
2022 2nd International Conference on Economic …
,
2022
[3]
Forecasting the Anti-Rabies Vaccine Demand at Jawaharlal Medical College and Hospital, Ajmer, Rajasthan: A Comparative Analysis based on Time Series Model.
Indian Journal of …
,
2021
[4]
Forecasting non-linear WPI of manufacture of chemicals and chemical products in India: an MLP approach
International Journal of Advanced …
,
2021
[1]
Evolutionary Optimization of COVID-19 Vaccine Distribution With Evolutionary Demands
IEEE Transactions on Evolutionary Computation
,
2023
DOI:
10.1109/TEVC.2022.3164260
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