607 related articles for article (PubMed ID: 32390691)
1. Time series forecasting of COVID-19 transmission in Canada using LSTM networks.
Chimmula VKR; Zhang L
Chaos Solitons Fractals; 2020 Jun; 135():109864. PubMed ID: 32390691
[TBL] [Abstract][Full Text] [Related]
2. COVID-19 in Bangladesh: A Deeper Outlook into The Forecast with Prediction of Upcoming Per Day Cases Using Time Series.
Mohammad Masum AK; Khushbu SA; Keya M; Abujar S; Hossain SA
Procedia Comput Sci; 2020; 178():291-300. PubMed ID: 33520018
[TBL] [Abstract][Full Text] [Related]
3. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
[TBL] [Abstract][Full Text] [Related]
4. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.
Ayoobi N; Sharifrazi D; Alizadehsani R; Shoeibi A; Gorriz JM; Moosaei H; Khosravi A; Nahavandi S; Gholamzadeh Chofreh A; Goni FA; Klemeš JJ; Mosavi A
Results Phys; 2021 Aug; 27():104495. PubMed ID: 34221854
[TBL] [Abstract][Full Text] [Related]
5. Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells.
ArunKumar KE; Kalaga DV; Kumar CMS; Kawaji M; Brenza TM
Chaos Solitons Fractals; 2021 May; 146():110861. PubMed ID: 33746373
[TBL] [Abstract][Full Text] [Related]
6. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM.
Shahid F; Zameer A; Muneeb M
Chaos Solitons Fractals; 2020 Nov; 140():110212. PubMed ID: 32839642
[TBL] [Abstract][Full Text] [Related]
7. Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran.
Wang P; Zheng X; Ai G; Liu D; Zhu B
Chaos Solitons Fractals; 2020 Nov; 140():110214. PubMed ID: 32839643
[TBL] [Abstract][Full Text] [Related]
8. Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study.
Shastri S; Singh K; Kumar S; Kour P; Mansotra V
Chaos Solitons Fractals; 2020 Nov; 140():110227. PubMed ID: 32843824
[TBL] [Abstract][Full Text] [Related]
9. Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach.
Zhou L; Zhao C; Liu N; Yao X; Cheng Z
Eng Appl Artif Intell; 2023 Jun; 122():106157. PubMed ID: 36968247
[TBL] [Abstract][Full Text] [Related]
10. Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach.
Prasanth S; Singh U; Kumar A; Tikkiwal VA; Chong PHJ
Chaos Solitons Fractals; 2021 Jan; 142():110336. PubMed ID: 33110297
[TBL] [Abstract][Full Text] [Related]
11. Comparative study of machine learning methods for COVID-19 transmission forecasting.
Dairi A; Harrou F; Zeroual A; Hittawe MM; Sun Y
J Biomed Inform; 2021 Jun; 118():103791. PubMed ID: 33915272
[TBL] [Abstract][Full Text] [Related]
12. Time series predicting of COVID-19 based on deep learning.
Alassafi MO; Jarrah M; Alotaibi R
Neurocomputing (Amst); 2022 Jan; 468():335-344. PubMed ID: 34690432
[TBL] [Abstract][Full Text] [Related]
13. Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?
Devaraj J; Madurai Elavarasan R; Pugazhendhi R; Shafiullah GM; Ganesan S; Jeysree AK; Khan IA; Hossain E
Results Phys; 2021 Feb; 21():103817. PubMed ID: 33462560
[TBL] [Abstract][Full Text] [Related]
14. CNN-LSTM deep learning based forecasting model for COVID-19 infection cases in Nigeria, South Africa and Botswana.
Muhammad LJ; Haruna AA; Sharif US; Mohammed MB
Health Technol (Berl); 2022; 12(6):1259-1276. PubMed ID: 36406187
[TBL] [Abstract][Full Text] [Related]
15. A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA.
Liu Q; Fung DLX; Lac L; Hu P
Front Public Health; 2021; 9():741030. PubMed ID: 34692627
[No Abstract] [Full Text] [Related]
16. Deep learning model for forecasting COVID-19 outbreak in Egypt.
Marzouk M; Elshaboury N; Abdel-Latif A; Azab S
Process Saf Environ Prot; 2021 Sep; 153():363-375. PubMed ID: 34334966
[TBL] [Abstract][Full Text] [Related]
17. Forecasting the long-term trend of COVID-19 epidemic using a dynamic model.
Sun J; Chen X; Zhang Z; Lai S; Zhao B; Liu H; Wang S; Huan W; Zhao R; Ng MTA; Zheng Y
Sci Rep; 2020 Dec; 10(1):21122. PubMed ID: 33273592
[TBL] [Abstract][Full Text] [Related]
18. A Deep Learning-Based Method for Forecasting Gold Price with Respect to Pandemics.
Mohtasham Khani M; Vahidnia S; Abbasi A
SN Comput Sci; 2021; 2(4):335. PubMed ID: 34151290
[TBL] [Abstract][Full Text] [Related]
19. Transfer Learning for COVID-19 cases and deaths forecast using LSTM network.
Gautam Y
ISA Trans; 2022 May; 124():41-56. PubMed ID: 33422330
[TBL] [Abstract][Full Text] [Related]
20. Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study.
Zeroual A; Harrou F; Dairi A; Sun Y
Chaos Solitons Fractals; 2020 Nov; 140():110121. PubMed ID: 32834633
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
