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 *

161 related articles for article (PubMed ID: 31818576)

  • 1. Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method.
    Hosseini FS; Choubin B; Mosavi A; Nabipour N; Shamshirband S; Darabi H; Haghighi AT
    Sci Total Environ; 2020 Apr; 711():135161. PubMed ID: 31818576
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment.
    Singha C; Rana VK; Pham QB; Nguyen DC; Łupikasza E
    Environ Sci Pollut Res Int; 2024 Jul; 31(35):48497-48522. PubMed ID: 39030454
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery.
    Razavi-Termeh SV; Sadeghi-Niaraki A; Seo M; Choi SM
    Sci Total Environ; 2023 May; 873():162285. PubMed ID: 36801341
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models.
    Costache R; Hong H; Pham QB
    Sci Total Environ; 2020 Apr; 711():134514. PubMed ID: 31812401
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Novel integrated modelling based on multiplicative long short-term memory (mLSTM) deep learning model and ensemble multi-criteria decision making (MCDM) models for mapping flood risk.
    Mohammadifar A; Gholami H; Golzari S
    J Environ Manage; 2023 Nov; 345():118838. PubMed ID: 37595460
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future.
    Janizadeh S; Chandra Pal S; Saha A; Chowdhuri I; Ahmadi K; Mirzaei S; Mosavi AH; Tiefenbacher JP
    J Environ Manage; 2021 Nov; 298():113551. PubMed ID: 34435571
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping.
    Razavi-Termeh SV; Sadeghi-Niaraki A; Choi SM
    J Environ Manage; 2023 Nov; 345():118790. PubMed ID: 37647734
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.
    Khosravi K; Pham BT; Chapi K; Shirzadi A; Shahabi H; Revhaug I; Prakash I; Tien Bui D
    Sci Total Environ; 2018 Jun; 627():744-755. PubMed ID: 29426199
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon
    Khosravi K; Pourghasemi HR; Chapi K; Bahri M
    Environ Monit Assess; 2016 Dec; 188(12):656. PubMed ID: 27826821
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles.
    Costache R; Tien Bui D
    Sci Total Environ; 2020 Apr; 712():136492. PubMed ID: 31927448
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping.
    Shafizadeh-Moghadam H; Valavi R; Shahabi H; Chapi K; Shirzadi A
    J Environ Manage; 2018 Jul; 217():1-11. PubMed ID: 29579536
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ReAFFIRM: Real-time Assessment of Flash Flood Impacts - a Regional high-resolution Method.
    Ritter J; Berenguer M; Corral C; Park S; Sempere-Torres D
    Environ Int; 2020 Mar; 136():105375. PubMed ID: 31978631
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Determination of flood probability and prioritization of sub-watersheds: A comparison of game theory to machine learning.
    Avand M; Khiavi AN; Khazaei M; Tiefenbacher JP
    J Environ Manage; 2021 Oct; 295():113040. PubMed ID: 34147991
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran.
    Bashirgonbad M; Farokhzadeh B; Gholami V
    Environ Sci Pollut Res Int; 2024 Aug; 31(38):50427-50442. PubMed ID: 39090299
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hybrid-based Bayesian algorithm and hydrologic indices for flash flood vulnerability assessment in coastal regions: machine learning, risk prediction, and environmental impact.
    Abu El-Magd SA; Maged A; Farhat HI
    Environ Sci Pollut Res Int; 2022 Aug; 29(38):57345-57356. PubMed ID: 35352224
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods.
    Bui DT; Tsangaratos P; Ngo PT; Pham TD; Pham BT
    Sci Total Environ; 2019 Jun; 668():1038-1054. PubMed ID: 31018446
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping.
    Ngo PT; Pham TD; Hoang ND; Tran DA; Amiri M; Le TT; Hoa PV; Bui PV; Nhu VH; Bui DT
    J Environ Manage; 2021 Feb; 280():111858. PubMed ID: 33360552
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data.
    Ngo PT; Hoang ND; Pradhan B; Nguyen QK; Tran XT; Nguyen QM; Nguyen VN; Samui P; Tien Bui D
    Sensors (Basel); 2018 Oct; 18(11):. PubMed ID: 30384451
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines.
    Choubin B; Moradi E; Golshan M; Adamowski J; Sajedi-Hosseini F; Mosavi A
    Sci Total Environ; 2019 Feb; 651(Pt 2):2087-2096. PubMed ID: 30321730
    [TBL] [Abstract][Full Text] [Related]  

  • 20. How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region.
    Saha TK; Pal S; Talukdar S; Debanshi S; Khatun R; Singha P; Mandal I
    J Environ Manage; 2021 Nov; 297():113344. PubMed ID: 34314957
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.