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 *

140 related articles for article (PubMed ID: 34434816)

  • 1. Methodology for forecasting electricity consumption by Grey and Vector autoregressive models.
    Guefano S; Tamba JG; Azong TEW; Monkam L
    MethodsX; 2021; 8():101296. PubMed ID: 34434816
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A technique for improving petroleum products forecasts using grey convolution models and genetic algorithms.
    Sapnken FE; Acyl AK; Boukar M; Nyobe SLB; Tamba JG
    MethodsX; 2023; 10():102097. PubMed ID: 36923703
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel prediction approach using wavelet transform and grey multivariate convolution model.
    Sapnken FE; Kibong MT; Tamba JG
    MethodsX; 2023 Dec; 11():102259. PubMed ID: 37416487
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings.
    Ngo NT; Pham AD; Truong TTH; Truong NS; Huynh NT
    Sci Rep; 2022 Sep; 12(1):15775. PubMed ID: 36131108
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC(1,n) model optimized by genetic algorithms.
    Sapnken FE; Ahmat KA; Boukar M; Biobiongono Nyobe SL; Tamba JG
    Heliyon; 2022 Dec; 8(12):e12138. PubMed ID: 36561699
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Photovoltaic Power Generation Forecasting Using a Novel Hybrid Intelligent Model in Smart Grid.
    Boum AT; Foba Kakeu VJ; Mbey CF; Yem Souhe FG
    Comput Intell Neurosci; 2022; 2022():7495548. PubMed ID: 36248947
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Forecasting methodology with structural auto-adaptive intelligent grey models.
    Sapnken FE; Tamba JG
    MethodsX; 2023; 10():102237. PubMed ID: 37424754
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
    Butt FM; Hussain L; Mahmood A; Lone KJ
    Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Forecasting CO
    Sapnken FE; Noume HC; Tamba JG
    MethodsX; 2023 Dec; 11():102271. PubMed ID: 37457434
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accurate prediction of electricity consumption using a hybrid CNN-LSTM model based on multivariable data.
    Chung J; Jang B
    PLoS One; 2022; 17(11):e0278071. PubMed ID: 36417448
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Water demand in watershed forecasting using a hybrid model based on autoregressive moving average and deep neural networks.
    Liu G; Yuan M; Chen X; Lin X; Jiang Q
    Environ Sci Pollut Res Int; 2023 Jan; 30(5):11946-11958. PubMed ID: 36100789
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A forecasting model approach of sustainable electricity management by developing adaptive neuro-fuzzy inference system.
    Khan AN; Nadeem MA; Hussain MS; Aslam M; Bazmi AA
    Environ Sci Pollut Res Int; 2020 May; 27(15):17607-17618. PubMed ID: 31845246
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Electricity Load and Price Forecasting Using Jaya-Long Short Term Memory (JLSTM) in Smart Grids.
    Khalid R; Javaid N; Al-Zahrani FA; Aurangzeb K; Qazi EU; Ashfaq T
    Entropy (Basel); 2019 Dec; 22(1):. PubMed ID: 33285785
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Time series model for forecasting the number of new admission inpatients.
    Zhou L; Zhao P; Wu D; Cheng C; Huang H
    BMC Med Inform Decis Mak; 2018 Jun; 18(1):39. PubMed ID: 29907102
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hybrid support vector regression and autoregressive integrated moving average models improved by particle swarm optimization for property crime rates forecasting with economic indicators.
    Alwee R; Shamsuddin SM; Sallehuddin R
    ScientificWorldJournal; 2013; 2013():951475. PubMed ID: 23766729
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A genetic-algorithm-based remnant grey prediction model for energy demand forecasting.
    Hu YC
    PLoS One; 2017; 12(10):e0185478. PubMed ID: 28981548
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Modified grey model for estimating traffic tunnel air quality.
    Lee CC; Wan TJ; Kuo CY; Chung CY
    Environ Monit Assess; 2007 Sep; 132(1-3):351-64. PubMed ID: 17342440
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecasting daily patient volumes in the emergency department.
    Jones SS; Thomas A; Evans RS; Welch SJ; Haug PJ; Snow GL
    Acad Emerg Med; 2008 Feb; 15(2):159-70. PubMed ID: 18275446
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Developing a hybrid technique for energy demand forecasting based on optimized improved SVM by the boosted multi-verse optimizer: Investigation on affecting factors.
    Huang A; Bi Q; Dai L; Hosseinzadeh H
    Heliyon; 2024 Apr; 10(7):e28717. PubMed ID: 38586385
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19.
    Lu H; Ma X; Ma M
    Energy (Oxf); 2021 Mar; 219():119568. PubMed ID: 33324028
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.