Ushbu ish iqtibos qilgan ishlar

36 ta ish

Ish: Comparative analysis of Random Forest and Support Vector Machine for LULC classification in Tashkent Region using Landsat-8 imagery

1. Random Forests

   Leo Breiman

   MaqolaOAOchiq kirish2001117 iqtibos

   ABIABI:AkademIndex/2026.other.004196

2. The soil-adjusted vegetation index for soil salinity assessment in Uzbekistan

   Nozimjon Teshaev, Bunyod Mamadaliyev, Azamjon Ibragimov +1

   MaqolaOAOchiq kirishEngineering and Agricultural InnovationsInterCarto InterGIS202050 iqtibos

   ABIABI:AkademIndex/2020.article.000059

3. Applying remote sensing techniques to monitor green areas in Tashkent Uzbekistan

   I. A. Aslanov, Uzbekkhon Mukhtorov, Rahimjon Mahsudov +4

   MaqolaOAOchiq kirishEngineering and Agricultural InnovationsE3S Web of Conferences202127 iqtibos

   ABIABI:AkademIndex/2021.article.000114

4. Land cover change in Tashkent province during 1992 – 2018

   Bokhir Alikhanov, Sh Alikhanova, Rustam Oymatov +2

   MaqolaOAOchiq kirishEngineering and Agricultural InnovationsIOP Conference Series Materials Science and Engineering202025 iqtibos

   ABIABI:AkademIndex/2026.other.059076

5. Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine

   I. A. Aslanov, Nozimjon Teshaev, Kholmurod Khayitov +3

   MaqolaOAOchiq kirishRangeland Management and Livestock EcologyE3S Web of Conferences202316 iqtibos

   ABIABI:AkademIndex/2023.article.000503

6. The Assessment of Climate Change on Rainfall-Runoff Erosivity in the Chirchik–Akhangaran Basin, Uzbekistan

   Khusen Gafforov, Anming Bao, Shavkat Rakhimov +7

   MaqolaOAOchiq kirishSoil erosion and sediment transportSustainability202013 iqtibos

   ABIABI:AkademIndex/2020.article.000132

7. Random forest in remote sensing: A review of applications and future directions

   Mariana Belgiu, Lucian Drăguţ

   Sharh maqola201613 iqtibos

   ABIABI:AkademIndex/2026.other.063593

8. Support-Vector Networks

   Corinna Cortes, Vladimir Vapnik

   Maqola199513 iqtibos

   ABIABI:AkademIndex/2026.other.151510

9. The impacts of green spaces on mitigating the urban hot island effect in the city of Tashkent

   Shavkat Sharipov, Alijon Khayitmurodov

   MaqolaOAOchiq kirishUrban Heat Island MitigationBIO Web of Conferences20249 iqtibos

   ABIABI:AkademIndex/2024.article.000921

10. Irrigated Crop Types Mapping in Tashkent Province of Uzbekistan with Remote Sensing-Based Classification Methods

    Elbek Erdanaev, Martin Kappas, Daniel Wyss

    Maqola20228 iqtibos

    ABIABI:AkademIndex/2026.other.811944

11. Status of land cover classification accuracy assessment

    Giles M. Foody

    Maqola20026 iqtibos

    ABIABI:AkademIndex/2026.other.106838

12. Implementation of machine-learning classification in remote sensing: an applied review

    Aaron E. Maxwell, Timothy A. Warner, Fang Fang

    MaqolaOAOchiq kirish20186 iqtibos

    ABIABI:AkademIndex/2026.other.149437

13. The Detection of Past and Future Land Use and Land Cover Change in Ugam Chatkal National Park, Uzbekistan, Using CA-Markov and Random Forest Machine Learning Algorithms

    Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev

    MaqolaOAOchiq kirishTransboundary Water Resource ManagementForum Geografi20245 iqtibos

    ABIABI:AkademIndex/2024.article.000954

14. Characterizing land surface dynamics in Aral Sea basin of Uzbekistan using climatic and remote sensing data to project future conditions

    I. A. Aslanov, Nozimjon Teshaev, Zafarjon Jabbarov +4

    MaqolaOAOchiq kirishTransboundary Water Resource ManagementE3S Web of Conferences20244 iqtibos

    ABIABI:AkademIndex/2024.article.001844

15. Random Forests for land cover classification

    Pall Oskar Gislason, Jón Atli Benediktsson, Jóhannes R. Sveinsson

    Maqola20054 iqtibos

    ABIABI:AkademIndex/2026.other.106829

16. Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index

    Lauri Korhonen, Hadi Hadi, Petteri Packalén +1

    Maqola20173 iqtibos

    ABIABI:AkademIndex/2026.other.246984

17. An assessment of support vector machines for land cover classification

    Chenn‐Jung Huang, Larr S. Davis, J. R. Townshend

    Maqola20023 iqtibos

    ABIABI:AkademIndex/2026.other.590524

18. Random forest classifier for remote sensing classification

    Mahesh Pal

    Maqola20053 iqtibos

    ABIABI:AkademIndex/2026.other.738813

19. Support vector machines in remote sensing: A review

    Giorgos Mountrakis, Jungho Im, Caesar Ogole

    Sharh maqola20103 iqtibos

    ABIABI:AkademIndex/2026.other.811937

20. Estimation of Land Surface Temperature in an Agricultural Region of Bangladesh from Landsat 8: Intercomparison of Four Algorithms

    Md. Qutub Uddin Sajib, Wang Tao

    Maqola20202 iqtibos

    ABIABI:AkademIndex/2026.other.771274

21. Support Vector Machines and Support Vector Regression

    Osval A. Montesinos‐López, Abelardo Montesinos‐López, José Crossa

    Bob20222 iqtibos

    ABIABI:AkademIndex/2026.other.778237

22. Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting

    Nizom Farmonov, Khilola Amankulova, Shahid Nawaz Khan +6

    MaqolaOAOchiq kirishRemote Sensing in AgricultureHungarian Geographical Bulletin20241 iqtibos

    ABIABI:AkademIndex/2024.article.001464

23. Sarlavhasiz

    Boshqa1 iqtibos

    ABIABI:AkademIndex/2026.other.811936

24. Sarlavhasiz

    Boshqa1 iqtibos

    ABIABI:AkademIndex/2026.other.811938

25. Sarlavhasiz

    Boshqa1 iqtibos

    ABIABI:AkademIndex/2026.other.811939