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 *

130 related articles for article (PubMed ID: 38568312)

  • 1. Empowering real-time flood impact assessment through the integration of machine learning and Google Earth Engine: a comprehensive approach.
    Khan NS; Roy SK; Talukdar S; Billah M; Iqbal A; Zzaman RU; Chowdhury A; Mahtab SB; Mallick J
    Environ Sci Pollut Res Int; 2024 Apr; ():. PubMed ID: 38568312
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Near real-time flood inundation and hazard mapping of Baitarani River Basin using Google Earth Engine and SAR imagery.
    Atchyuth BAS; Swain R; Das P
    Environ Monit Assess; 2023 Oct; 195(11):1331. PubMed ID: 37848573
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine.
    Tiwari V; Kumar V; Matin MA; Thapa A; Ellenburg WL; Gupta N; Thapa S
    PLoS One; 2020; 15(8):e0237324. PubMed ID: 32813701
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Basin-wide flood depth and exposure mapping from SAR images and machine learning models.
    Hao C; Yunus AP; Siva Subramanian S; Avtar R
    J Environ Manage; 2021 Nov; 297():113367. PubMed ID: 34314958
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Flood mapping and damage assessment due to the super cyclone Yaas using Google Earth Engine in Purba Medinipur, West Bengal, India.
    Khatun M; Garai S; Sharma J; Singh R; Tiwari S; Rahaman SM
    Environ Monit Assess; 2022 Oct; 194(12):869. PubMed ID: 36220911
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mapping and monitoring land use land cover dynamics employing Google Earth Engine and machine learning algorithms on Chattogram, Bangladesh.
    Biswas J; Jobaer MA; Haque SF; Islam Shozib MS; Limon ZA
    Heliyon; 2023 Nov; 9(11):e21245. PubMed ID: 37954389
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Extreme rainfall-induced urban flood monitoring and damage assessment in Wuhan (China) and Kumamoto (Japan) cities using Google Earth Engine.
    Pandey AC; Bhattacharjee S; Wasim M; Salim M; Ranjan Parida B
    Environ Monit Assess; 2022 May; 194(6):402. PubMed ID: 35513557
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Flood inundation mapping and monitoring using SAR data and its impact on Ramganga River in Ganga basin.
    Agnihotri AK; Ohri A; Gaur S; Shivam ; Das N; Mishra S
    Environ Monit Assess; 2019 Nov; 191(12):760. PubMed ID: 31745827
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic flood detection using sentinel-1 images on the google earth engine.
    Moharrami M; Javanbakht M; Attarchi S
    Environ Monit Assess; 2021 Apr; 193(5):248. PubMed ID: 33825990
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Flood vulnerability mapping and urban sprawl suitability using FR, LR, and SVM models.
    Youssef AM; Pourghasemi HR; Mahdi AM; Matar SS
    Environ Sci Pollut Res Int; 2023 Feb; 30(6):16081-16105. PubMed ID: 36178648
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain.
    Parashar D; Kumar A; Palni S; Pandey A; Singh A; Singh AP
    Environ Monit Assess; 2023 Dec; 196(1):8. PubMed ID: 38049547
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Forecasting of compound ocean-fluvial floods using machine learning.
    Moradian S; AghaKouchak A; Gharbia S; Broderick C; Olbert AI
    J Environ Manage; 2024 Jul; 364():121295. PubMed ID: 38875991
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Advanced machine learning algorithms for flood susceptibility modeling - performance comparison: Red Sea, Egypt.
    Youssef AM; Pourghasemi HR; El-Haddad BA
    Environ Sci Pollut Res Int; 2022 Sep; 29(44):66768-66792. PubMed ID: 35508847
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Google Earth Engine for concurrent flood monitoring in the lower basin of Indo-Gangetic-Brahmaputra plains.
    Lal P; Prakash A; Kumar A
    Nat Hazards (Dordr); 2020; 104(2):1947-1952. PubMed ID: 32863577
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Flood inundation mapping and monitoring in Kaziranga National Park, Assam using Sentinel-1 SAR data.
    Borah SB; Sivasankar T; Ramya MNS; Raju PLN
    Environ Monit Assess; 2018 Aug; 190(9):520. PubMed ID: 30112610
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Combining multisensor images and social network data to assess the area flooded by a hurricane event.
    Hernández-Guzmán R; Ruiz-Luna A
    PeerJ; 2024; 12():e17319. PubMed ID: 38699179
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Flood damage assessment with Sentinel-1 and Sentinel-2 data after Sardoba dam break with GLCM features and Random Forest method.
    Tavus B; Kocaman S; Gokceoglu C
    Sci Total Environ; 2022 Apr; 816():151585. PubMed ID: 34767887
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms.
    Riazi M; Khosravi K; Shahedi K; Ahmad S; Jun C; Bateni SM; Kazakis N
    Sci Total Environ; 2023 May; 871():162066. PubMed ID: 36773901
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.