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2004.01574
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Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting
3 April 2020
B. Ndiaye
Lena Tendeng
D. Seck
OOD
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Papers citing
"Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting"
11 / 11 papers shown
Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study
Mousa Alizadeh
Mohammad Hossein Samaei
Azam Seilsepour
Mohammad TH Beheshti
Mohammad TH Beheshti
349
6
0
17 Mar 2025
Containing a spread through sequential learning: to exploit or to explore?
Xingran Chen
Hesam Nikpey
Jungyeol Kim
S. Sarkar
Shirin Saeedi Bidokhti
249
2
0
01 Mar 2023
Neural Network Augmented Compartmental Pandemic Models
Lorenz Kummer
Kevin Sidak
40
0
0
15 Dec 2022
Critical data analysis of COVID-19 spreading in Indonesia to measure the readiness of new-normal policy
M. Furqon
Nina Fadillah Najwa
Endah Septa Sintiya
Erista Maya Safitri
I. R. Mukhlis
54
2
0
16 Nov 2020
Analysis of COVID-19 evolution in Senegal: impact of health care capacity
M. Fall
B. Ndiaye
O. Seydi
D. Seck
37
4
0
12 Nov 2020
Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak
Mert Nakıp
Onur Çopur
C. Güzelı̇ş
128
0
0
06 Nov 2020
Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention
Hanuman Verma
Akshansh Gupta
Utkarsh Niranjan
88
3
0
17 Aug 2020
Visualization and machine learning for forecasting of COVID-19 in Senegal
B. Ndiaye
M. A. Baldé
D. Seck
47
13
0
06 Aug 2020
Backtesting the predictability of COVID-19
Dmitry Gordeev
Philipp Singer
M. Michailidis
Mathias Müller
SriSatish Ambati
OOD
74
7
0
22 Jul 2020
Impact studies of nationwide measures COVID-19 anti-pandemic: compartmental model and machine learning
M. A. Baldé
C. Balde
B. Ndiaye
63
12
0
17 May 2020
Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models
B. Ndiaye
Lena Tendeng
D. Seck
47
31
0
24 Apr 2020
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