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 *

118 related articles for article (PubMed ID: 39141038)

  • 1. Fine-tuning inflow prediction models: integrating optimization algorithms and TRMM data for enhanced accuracy.
    Ali E; Zerouali B; Tariq A; Katipoğlu OM; Bailek N; Santos CAG; M Ghoneim SS; Towfiqul Islam ARM
    Water Sci Technol; 2024 Aug; 90(3):844-877. PubMed ID: 39141038
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessment of hybrid machine learning algorithms using TRMM rainfall data for daily inflow forecasting in Três Marias Reservoir, eastern Brazil.
    Gomaa E; Zerouali B; Difi S; El-Nagdy KA; Santos CAG; Abda Z; Ghoneim SSM; Bailek N; Silva RMD; Rajput J; Ali E
    Heliyon; 2023 Aug; 9(8):e18819. PubMed ID: 37593632
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks.
    Sperandio Nascimento EG; Ortiz J; Furtado AN; Frias D
    PLoS One; 2023; 18(4):e0282621. PubMed ID: 37023075
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A hybrid model for enhanced forecasting of PM
    Feng X; Zhang X; Henne S; Zhao YB; Liu J; Chen TL; Wang J
    Environ Pollut; 2024 Aug; 355():124263. PubMed ID: 38815889
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A cosine adaptive particle swarm optimization based long-short term memory method for urban green area prediction.
    Tian H; Yuan H; Yan K; Guo J
    PeerJ Comput Sci; 2024; 10():e2048. PubMed ID: 38855216
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method.
    Huang JC; Tsai YC; Wu PY; Lien YH; Chien CY; Kuo CF; Hung JF; Chen SC; Kuo CH
    Comput Methods Programs Biomed; 2020 Oct; 195():105536. PubMed ID: 32485511
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.
    Kutlu H; Avcı E
    Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035406
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Inversion of Rayleigh Wave Dispersion Curves via Long Short-Term Memory Combined with Particle Swarm Optimization.
    Fu Y; Yang A; Yao Z; Liu Y; Li H; Chen H; Wang X
    Comput Intell Neurosci; 2022; 2022():2640929. PubMed ID: 36590837
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of a hybrid LSTM with chimp optimization algorithm for the pressure ventilator prediction.
    Ahmed FR; Alsenany SA; Abdelaliem SMF; Deif MA
    Sci Rep; 2023 Nov; 13(1):20927. PubMed ID: 38017008
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessment of rainfall-derived inflow and infiltration in sewer systems with machine learning approaches.
    Wang Y; Huang B; Zhu DZ
    Water Sci Technol; 2024 Apr; 89(8):1928-1945. PubMed ID: 38678400
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm.
    Karbasi M; Ali M; Bateni SM; Jun C; Jamei M; Farooque AA; Yaseen ZM
    Sci Rep; 2024 Jul; 14(1):15051. PubMed ID: 38951605
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Soil salinity prediction using hybrid machine learning and remote sensing in Ben Tre province on Vietnam's Mekong River Delta.
    Nguyen HD; Van CP; Nguyen TG; Dang DK; Pham TTN; Nguyen QH; Bui QT
    Environ Sci Pollut Res Int; 2023 Jun; 30(29):74340-74357. PubMed ID: 37204580
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A hybrid XGBoost-ISSA-LSTM model for accurate short-term and long-term dissolved oxygen prediction in ponds.
    Wu Y; Sun L; Sun X; Wang B
    Environ Sci Pollut Res Int; 2022 Mar; 29(12):18142-18159. PubMed ID: 34686955
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Rock Unloading Strength Based on PSO-XGBoost Hybrid Models.
    Liu B; Lin H; Chen Y; Yang C
    Materials (Basel); 2024 Aug; 17(17):. PubMed ID: 39274602
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Method to Predict CO
    Cen H; Yu L; Pu Y; Li J; Liu Z; Cai Q; Liu S; Nie J; Ge J; Guo J; Yang S; Zhao H; Wang K
    Animals (Basel); 2023 Apr; 13(8):. PubMed ID: 37106885
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Seasonal prediction of daily PM
    Wu Y; Lin S; Shi K; Ye Z; Fang Y
    Environ Sci Pollut Res Int; 2022 Jun; 29(30):45821-45836. PubMed ID: 35150424
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatial mapping of land susceptibility to dust emissions using optimization of attentive Interpretable Tabular Learning (TabNet) model.
    Razavi-Termeh SV; Sadeghi-Niaraki A; Sorooshian A; Abuhmed T; Choi SM
    J Environ Manage; 2024 May; 358():120682. PubMed ID: 38670008
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The prediction of collective Economic development based on the PSO-LSTM model in smart agriculture.
    Zheng C; Li H
    PeerJ Comput Sci; 2023; 9():e1304. PubMed ID: 37346568
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models.
    Sarwar J; Khan SA; Azmat M; Khan F
    Environ Sci Pollut Res Int; 2024 May; 31(23):33495-33514. PubMed ID: 38684613
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of evaporation from dam reservoirs under climate change using soft computing techniques.
    Kayhomayoon Z; Naghizadeh F; Malekpoor M; Arya Azar N; Ball J; Ghordoyee Milan S
    Environ Sci Pollut Res Int; 2023 Feb; 30(10):27912-27935. PubMed ID: 36385346
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.