These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 33824550)

  • 1. Maximum likelihood-based extended Kalman filter for COVID-19 prediction.
    Song J; Xie H; Gao B; Zhong Y; Gu C; Choi KS
    Chaos Solitons Fractals; 2021 May; 146():110922. PubMed ID: 33824550
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling.
    Zhu X; Gao B; Zhong Y; Gu C; Choi KS
    Comput Biol Med; 2021 Oct; 137():104810. PubMed ID: 34478923
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread.
    Tan Y; Iii DC; Ndeffo-Mbah M; Braga-Neto U
    Math Biosci Eng; 2021 Sep; 18(6):7685-7710. PubMed ID: 34814270
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters.
    Alyami L; Panda DK; Das S
    Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430648
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Maximum likelihood-based extended Kalman filter for soft tissue modelling.
    Song J; Xie H; Zhong Y; Gu C; Choi KS
    J Mech Behav Biomed Mater; 2023 Jan; 137():105553. PubMed ID: 36375275
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data.
    Papageorgiou VE; Tsaklidis G
    Chaos Solitons Fractals; 2023 Jan; 166():112914. PubMed ID: 36440087
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of COVID-19 Trend in India and Its Four Worst-Affected States Using Modified SEIRD and LSTM Models.
    Bedi P; Dhiman S; Gole P; Gupta N; Jindal V
    SN Comput Sci; 2021; 2(3):224. PubMed ID: 33899004
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia.
    Alyami L; Das S; Townley S
    PLOS Glob Public Health; 2024; 4(7):e0003467. PubMed ID: 39052559
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Steady state Kalman filter design for cases and deaths prediction of Covid-19 in Greece.
    Assimakis N; Adam M; Ktena A; Manasis C
    Results Phys; 2021 Jul; 26():104391. PubMed ID: 34104629
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation.
    Ruggaber J; Brembeck J
    Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300490
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Research on Pedestrian Indoor Positioning Based on Two-Step Robust Adaptive Cubature Kalman Filter with Smartphone MEMS Sensors.
    Geng J; Yu X; Wu C; Zhang G
    Micromachines (Basel); 2023 Jun; 14(6):. PubMed ID: 37374836
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting and analyzing the COVID-19 epidemic in China: Based on SEIRD, LSTM and GWR models.
    Liu F; Wang J; Liu J; Li Y; Liu D; Tong J; Li Z; Yu D; Fan Y; Bi X; Zhang X; Mo S
    PLoS One; 2020; 15(8):e0238280. PubMed ID: 32853285
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Volatility estimation for COVID-19 daily rates using Kalman filtering technique.
    Masum Bhuiyan MA; Mahmud S; Islam MR; Tasnim N
    Results Phys; 2021 Jul; 26():104291. PubMed ID: 34026472
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting of the Coronavirus Disease 2019 (COVID-19) Epidemic Using Estimation of Parameters in the Logistic Growth Model.
    Kartono A; Wahyudi ST; Setiawan AA; Sofian I
    Infect Dis Rep; 2021 May; 13(2):465-485. PubMed ID: 34073942
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Time-variant reliability-based prediction of COVID-19 spread using extended SEIVR model and Monte Carlo sampling.
    Shadabfar M; Mahsuli M; Sioofy Khoojine A; Hosseini VR
    Results Phys; 2021 Jul; 26():104364. PubMed ID: 34094819
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Distributed and decentralized state estimation in gas networks as distributed parameter systems.
    Ahmadian Behrooz H; Boozarjomehry RB
    ISA Trans; 2015 Sep; 58():552-66. PubMed ID: 26138354
    [TBL] [Abstract][Full Text] [Related]  

  • 17. State estimation-based control of COVID-19 epidemic before and after vaccine development.
    Rajaei A; Raeiszadeh M; Azimi V; Sharifi M
    J Process Control; 2021 Jun; 102():1-14. PubMed ID: 33867698
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation.
    Jung SY; Jo H; Son H; Hwang HJ
    J Med Internet Res; 2020 Sep; 22(9):e19907. PubMed ID: 32877350
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak.
    Liu XX; Fong SJ; Dey N; Crespo RG; Herrera-Viedma E
    Appl Intell (Dordr); 2021; 51(7):4162-4198. PubMed ID: 34764574
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modified SIRD Model for COVID-19 Spread Prediction for Northern and Southern States of India.
    Shringi S; Sharma H; Rathie PN; Bansal JC; Nagar A
    Chaos Solitons Fractals; 2021 Jul; 148():111039. PubMed ID: 34007123
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.