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 *

136 related articles for article (PubMed ID: 36236392)

  • 1. A Stacked Generalization Model to Enhance Prediction of Earthquake-Induced Soil Liquefaction.
    Preethaa S; Natarajan Y; Rathinakumar AP; Lee DE; Choi Y; Park YJ; Yi CY
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236392
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of Feedforward Neural Network and SPT Results in the Estimation of Seismic Soil Liquefaction Triggering.
    Pham TA
    Comput Intell Neurosci; 2021; 2021():1058825. PubMed ID: 34707648
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Key factors influencing earthquake-induced liquefaction and their direct and mediation effects.
    Hu J; Tan Y; Zou W
    PLoS One; 2021; 16(2):e0246387. PubMed ID: 33596213
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures.
    Hameed MM; Masood A; Srivastava A; Abd Rahman N; Mohd Razali SF; Salem A; Elbeltagi A
    Sci Rep; 2024 May; 14(1):10799. PubMed ID: 38734717
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Adjustment of a numerical model for pore pressure generation during an earthquake.
    Garcia Diez JL; Gonzalez Galindo J; Soriano Peña A;
    PLoS One; 2019; 14(9):e0222834. PubMed ID: 31557203
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Earthquake prediction model using support vector regressor and hybrid neural networks.
    Asim KM; Idris A; Iqbal T; Martínez-Álvarez F
    PLoS One; 2018; 13(7):e0199004. PubMed ID: 29975687
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning.
    Ogunjinmi PD; Park SS; Kim B; Lee DE
    Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591163
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models.
    Heydari S; Hoseinie SH; Bagherpour R
    Sci Rep; 2024 Apr; 14(1):8928. PubMed ID: 38637673
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms.
    Anbananthen KSM; Subbiah S; Chelliah D; Sivakumar P; Somasundaram V; Velshankar KH; Khan MKAA
    F1000Res; 2021; 10():1143. PubMed ID: 34987773
    [No Abstract]   [Full Text] [Related]  

  • 11. Modeling dissolved oxygen concentration using machine learning techniques with dimensionality reduction approach.
    Garabaghi FH; Benzer S; Benzer R
    Environ Monit Assess; 2023 Jun; 195(7):879. PubMed ID: 37354319
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI).
    Matin SS; Pradhan B
    Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34209169
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A machine learning-based treatment prediction model using whole genome variants of hepatitis C virus.
    Haga H; Sato H; Koseki A; Saito T; Okumoto K; Hoshikawa K; Katsumi T; Mizuno K; Nishina T; Ueno Y
    PLoS One; 2020; 15(11):e0242028. PubMed ID: 33152046
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of soil salinity in the Upputeru river estuary catchment, India, using machine learning techniques.
    Mantena S; Mahammood V; Rao KN
    Environ Monit Assess; 2023 Jul; 195(8):1006. PubMed ID: 37500987
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Study on sand liquefaction induced by Songyuan earthquake with a magnitude of M5.7 in China.
    Li P; Tian Z; Bo J; Zhu S; Li Y
    Sci Rep; 2022 Jun; 12(1):9588. PubMed ID: 35688910
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Survival of Legionella in earthquake-induced soil disturbance (liquefaction) in residential areas, Christchurch, New Zealand: implications for disease.
    Graham FF; Harte DJ
    N Z Med J; 2017 May; 130(1455):51-64. PubMed ID: 28494478
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Combination prediction method of students' performance based on ant colony algorithm.
    Xu H; Kim M
    PLoS One; 2024; 19(3):e0300010. PubMed ID: 38466689
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Drainage explains soil liquefaction beyond the earthquake near-field.
    Ben-Zeev S; Goren L; Toussaint R; Aharonov E
    Nat Commun; 2023 Sep; 14(1):5791. PubMed ID: 37758695
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study.
    Kablan R; Miller HA; Suliman S; Frieboes HB
    Int J Med Inform; 2023 Jul; 175():105090. PubMed ID: 37172507
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ground response analysis and liquefaction for Kalyani region, Kolkata.
    Kumar S; Muley P; Madani SN
    Environ Sci Pollut Res Int; 2023 Sep; 30(44):99127-99146. PubMed ID: 36269476
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.