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 *

112 related articles for article (PubMed ID: 33954228)

  • 21. Stock trading using RSPOP: a novel rough set-based neuro-fuzzy approach.
    Ang KK; Quek C
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1301-15. PubMed ID: 17001989
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Crude oil price forecasting based on hybridizing wavelet multiple linear regression model, particle swarm optimization techniques, and principal component analysis.
    Shabri A; Samsudin R
    ScientificWorldJournal; 2014; 2014():854520. PubMed ID: 24895666
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate.
    Zeynoddin M; Bonakdari H; Azari A; Ebtehaj I; Gharabaghi B; Riahi Madavar H
    J Environ Manage; 2018 Sep; 222():190-206. PubMed ID: 29843092
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A Hybrid Forecasting Approach to Air Quality Time Series Based on Endpoint Condition and Combined Forecasting Model.
    Zhu J; Wu P; Chen H; Zhou L; Tao Z
    Int J Environ Res Public Health; 2018 Sep; 15(9):. PubMed ID: 30200597
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Research and Forecast Analysis of Financial Stability for Policy Uncertainty.
    Dai Z; Zhou Z
    Comput Intell Neurosci; 2022; 2022():8799247. PubMed ID: 35371217
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets.
    Pyo S; Lee J; Cha M; Jang H
    PLoS One; 2017; 12(11):e0188107. PubMed ID: 29136004
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Data on forecasting energy prices using machine learning.
    Herrera GP; Constantino M; Tabak BM; Pistori H; Su JJ; Naranpanawa A
    Data Brief; 2019 Aug; 25():104122. PubMed ID: 31312697
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Carbon price prediction based on modified wavelet least square support vector machine.
    Sun W; Xu C
    Sci Total Environ; 2021 Feb; 754():142052. PubMed ID: 32916491
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A hybrid wavelet de-noising and Rank-Set Pair Analysis approach for forecasting hydro-meteorological time series.
    Wang D; Borthwick AG; He H; Wang Y; Zhu J; Lu Y; Xu P; Zeng X; Wu J; Wang L; Zou X; Liu J; Zou Y; He R
    Environ Res; 2018 Jan; 160():269-281. PubMed ID: 29032311
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Water demand forecasting: review of soft computing methods.
    Ghalehkhondabi I; Ardjmand E; Young WA; Weckman GR
    Environ Monit Assess; 2017 Jul; 189(7):313. PubMed ID: 28585040
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Forecasting Corn Yield With Machine Learning Ensembles.
    Shahhosseini M; Hu G; Archontoulis SV
    Front Plant Sci; 2020; 11():1120. PubMed ID: 32849688
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.
    Choi D; Sumner SA; Holland KM; Draper J; Murphy S; Bowen DA; Zwald M; Wang J; Law R; Taylor J; Konjeti C; De Choudhury M
    JAMA Netw Open; 2020 Dec; 3(12):e2030932. PubMed ID: 33355678
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach.
    Mudassir M; Bennbaia S; Unal D; Hammoudeh M
    Neural Comput Appl; 2020 Jul; ():1-15. PubMed ID: 32836901
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models.
    Barzegar R; Fijani E; Asghari Moghaddam A; Tziritis E
    Sci Total Environ; 2017 Dec; 599-600():20-31. PubMed ID: 28463698
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models.
    Alizadeh MJ; Jafari Nodoushan E; Kalarestaghi N; Chau KW
    Environ Sci Pollut Res Int; 2017 Dec; 24(36):28017-28025. PubMed ID: 28993996
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition.
    Zhang X; Zhang Q; Zhang G; Nie Z; Gui Z; Que H
    Int J Environ Res Public Health; 2018 May; 15(5):. PubMed ID: 29883381
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Daily air quality index forecasting with hybrid models: A case in China.
    Zhu S; Lian X; Liu H; Hu J; Wang Y; Che J
    Environ Pollut; 2017 Dec; 231(Pt 2):1232-1244. PubMed ID: 28939124
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A differential evolution-based regression framework for forecasting Bitcoin price.
    Jana RK; Ghosh I; Das D
    Ann Oper Res; 2021; 306(1-2):295-320. PubMed ID: 33758456
    [TBL] [Abstract][Full Text] [Related]  

  • 39. EMLP: short-term gas load forecasting based on ensemble multilayer perceptron with adaptive weight correction.
    Li F; Sun M
    Math Biosci Eng; 2021 Feb; 18(2):1590-1608. PubMed ID: 33757200
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting.
    Ding M; Zhou H; Xie H; Wu M; Liu KZ; Nakanishi Y; Yokoyama R
    ISA Trans; 2021 Feb; 108():58-68. PubMed ID: 32958296
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.