113 related articles for article (PubMed ID: 34674121)
1. A comparative mapping of plant species diversity using ensemble learning algorithms combined with high accuracy surface modeling.
Zhao Y; Yin X; Fu Y; Yue T
Environ Sci Pollut Res Int; 2022 Mar; 29(12):17878-17891. PubMed ID: 34674121
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Estimation of Soil Organic Carbon Content in the Ebinur Lake Wetland, Xinjiang, China, Based on Multisource Remote Sensing Data and Ensemble Learning Algorithms.
Xie B; Ding J; Ge X; Li X; Han L; Wang Z
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408299
[TBL] [Abstract][Full Text] [Related]
4. Predicting and identifying factors associated with undernutrition among children under five years in Ghana using machine learning algorithms.
Anku EK; Duah HO
PLoS One; 2024; 19(2):e0296625. PubMed ID: 38349921
[TBL] [Abstract][Full Text] [Related]
5. Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage.
Zou M; Liu Y; Fu M; Li C; Zhou Z; Meng H; Xing E; Ren Y
Front Plant Sci; 2023; 14():1272049. PubMed ID: 38235191
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features.
Lin X; Chen J; Lou P; Yi S; Qin Y; You H; Han X
Plant Methods; 2021 Sep; 17(1):96. PubMed ID: 34535179
[TBL] [Abstract][Full Text] [Related]
8. Machine-Learning Classification of Soil Bulk Density in Salt Marsh Environments.
Salehi Hikouei I; Kim SS; Mishra DR
Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34199102
[TBL] [Abstract][Full Text] [Related]
9. A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion.
Nguyen TT; Pham TD; Nguyen CT; Delfos J; Archibald R; Dang KB; Hoang NB; Guo W; Ngo HH
Sci Total Environ; 2022 Jan; 804():150187. PubMed ID: 34517328
[TBL] [Abstract][Full Text] [Related]
10. Mapping multi-scale vascular plant richness in a forest landscape with integrated LiDAR and hyperspectral remote-sensing.
Hakkenberg CR; Zhu K; Peet RK; Song C
Ecology; 2018 Feb; 99(2):474-487. PubMed ID: 29231965
[TBL] [Abstract][Full Text] [Related]
11. Intra-and-inter species biomass prediction in a plantation forest: testing the utility of high spatial resolution spaceborne multispectral RapidEye sensor and advanced machine learning algorithms.
Dube T; Mutanga O; Elhadi A; Ismail R
Sensors (Basel); 2014 Aug; 14(8):15348-70. PubMed ID: 25140631
[TBL] [Abstract][Full Text] [Related]
12. A 5-year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms.
Yu W; Lu Y; Shou H; Xu H; Shi L; Geng X; Song T
Cancer Med; 2023 Mar; 12(6):6867-6876. PubMed ID: 36479910
[TBL] [Abstract][Full Text] [Related]
13. Machine learning models for net photosynthetic rate prediction using poplar leaf phenotype data.
Zhang XY; Huang Z; Su X; Siu A; Song Y; Zhang D; Fang Q
PLoS One; 2020; 15(2):e0228645. PubMed ID: 32045452
[TBL] [Abstract][Full Text] [Related]
14. Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning.
Isabona J; Imoize AL; Kim Y
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632184
[TBL] [Abstract][Full Text] [Related]
15. Prediction of compressional sonic log in the western (Tano) sedimentary basin of Ghana, West Africa using supervised machine learning algorithms.
Nero C; Aning AA; Danuor SK; Mensah V
Heliyon; 2023 Sep; 9(9):e20242. PubMed ID: 37809898
[TBL] [Abstract][Full Text] [Related]
16. Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms.
Razavi-Termeh SV; Sadeghi-Niaraki A; Naqvi RA; Choi SM
Environ Pollut; 2023 Oct; 335():122241. PubMed ID: 37482338
[TBL] [Abstract][Full Text] [Related]
17. Liver function test indices-based prediction model for post-stroke depression: a multicenter, retrospective study.
Gong J; Zhang Y; Zhong X; Zhang Y; Chen Y; Wang H
BMC Med Inform Decis Mak; 2023 Jul; 23(1):127. PubMed ID: 37468891
[TBL] [Abstract][Full Text] [Related]
18. Digital mapping of soil organic carbon density in China using an ensemble model.
Sun Y; Ma J; Zhao W; Qu Y; Gou Z; Chen H; Tian Y; Wu F
Environ Res; 2023 Aug; 231(Pt 2):116131. PubMed ID: 37209984
[TBL] [Abstract][Full Text] [Related]
19. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
[TBL] [Abstract][Full Text] [Related]
20. Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape.
Aghababaei M; Ebrahimi A; Naghipour AA; Asadi E; Pérez-Suay A; Morata M; Garcia JL; Caicedo JPR; Verrelst J
Remote Sens (Basel); 2022 Sep; 14(18):4452. PubMed ID: 36172268
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
