BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

450 related articles for article (PubMed ID: 34335724)

  • 21. A hybrid model integrating long short-term memory with adaptive genetic algorithm based on individual ranking for stock index prediction.
    Zeng X; Cai J; Liang C; Yuan C
    PLoS One; 2022; 17(8):e0272637. PubMed ID: 35976906
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The Prediction of Enterprise Stock Change Trend by Deep Neural Network Model.
    Ma G; Chen P; Liu Z; Liu J
    Comput Intell Neurosci; 2022; 2022():9193055. PubMed ID: 35958787
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks.
    Mahjoub S; Chrifi-Alaoui L; Marhic B; Delahoche L
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684681
    [TBL] [Abstract][Full Text] [Related]  

  • 24. An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network.
    Singla P; Duhan M; Saroha S
    Earth Sci Inform; 2022; 15(1):291-306. PubMed ID: 34804244
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A Novel Bitcoin and Gold Prices Prediction Method Using an LSTM-P Neural Network Model.
    Zhang X; Zhang L; Zhou Q; Jin X
    Comput Intell Neurosci; 2022; 2022():1643413. PubMed ID: 35571687
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction.
    Liu F; Qin P; You J; Fu Y
    Comput Intell Neurosci; 2022; 2022():3680419. PubMed ID: 35990139
    [TBL] [Abstract][Full Text] [Related]  

  • 27. PM2.5 forecasting for an urban area based on deep learning and decomposition method.
    Zaini N; Ean LW; Ahmed AN; Abdul Malek M; Chow MF
    Sci Rep; 2022 Oct; 12(1):17565. PubMed ID: 36266317
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Gas Concentration Prediction Based on IWOA-LSTM-CEEMDAN Residual Correction Model.
    Xu N; Wang X; Meng X; Chang H
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746193
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Forecasting carbon emissions future prices using the machine learning methods.
    Shahzad U; Sengupta T; Rao A; Cui L
    Ann Oper Res; 2023 Feb; ():1-32. PubMed ID: 36777411
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Heteroscedasticity effects as component to future stock market predictions using RNN-based models.
    Sadon AN; Ismail S; Khamis A; Tariq MU
    PLoS One; 2024; 19(5):e0297641. PubMed ID: 38787874
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Load forecasting method based on CEEMDAN and TCN-LSTM.
    Heng L; Hao C; Nan LC
    PLoS One; 2024; 19(7):e0300496. PubMed ID: 38968242
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management.
    Zhang L; Wang C; Hu W; Wang X; Wang H; Sun X; Ren W; Feng Y
    Environ Res; 2024 May; 248():118267. PubMed ID: 38244969
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A novel recurrent neural network approach in forecasting short term solar irradiance.
    Jaihuni M; Basak JK; Khan F; Okyere FG; Sihalath T; Bhujel A; Park J; Lee DH; Kim HT
    ISA Trans; 2022 Feb; 121():63-74. PubMed ID: 33840460
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A novel hybrid model for six main pollutant concentrations forecasting based on improved LSTM neural networks.
    Xu S; Li W; Zhu Y; Xu A
    Sci Rep; 2022 Aug; 12(1):14434. PubMed ID: 36002466
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel hybrid approach to forecast crude oil futures using intraday data.
    Manickavasagam J; Visalakshmi S; Apergis N
    Technol Forecast Soc Change; 2020 Sep; 158():120126. PubMed ID: 32518424
    [TBL] [Abstract][Full Text] [Related]  

  • 36. SF-Transformer: A Mutual Information-Enhanced Transformer Model with Spot-Forward Parity for Forecasting Long-Term Chinese Stock Index Futures Prices.
    Mao W; Liu P; Huang J
    Entropy (Basel); 2024 May; 26(6):. PubMed ID: 38920487
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks.
    Vlachas PR; Byeon W; Wan ZY; Sapsis TP; Koumoutsakos P
    Proc Math Phys Eng Sci; 2018 May; 474(2213):20170844. PubMed ID: 29887750
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.
    Jin W; Dong S; Yu C; Luo Q
    Comput Biol Med; 2022 Jul; 146():105560. PubMed ID: 35551008
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM.
    Ameri R; Hsu CC; Band SS; Zamani M; Shu CM; Khorsandroo S
    Ecotoxicol Environ Saf; 2023 Nov; 266():115572. PubMed ID: 37837695
    [TBL] [Abstract][Full Text] [Related]  

  • 40. AQI time series prediction based on a hybrid data decomposition and echo state networks.
    Liu H; Zhang X
    Environ Sci Pollut Res Int; 2021 Oct; 28(37):51160-51182. PubMed ID: 33977435
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 23.