Keywords: کوبیسم; Soil mineralogy; X-ray powder diffraction; Soil properties; Cubist;
مقالات ISI کوبیسم (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: کوبیسم; Grasslands; Semiarid; MODIS; Cubist; Livestock density; Mongolian Plateau;
Keywords: کوبیسم; Machine-learning; LAI; Cubist; Random forests; Hybrid; REGFLEC;
Keywords: کوبیسم; Fluoride; Background; Soil; Regression tree model; Cubist; Australia;
Keywords: کوبیسم; Soil properties; Spatial distribution; Environmental factors; Cubist; Regression kriging; Uncertainty;
Keywords: کوبیسم; Snow depth; Cubist; Decision tree; Terrain parameters; Artificial neural networks;
Keywords: کوبیسم; Drought monitoring; MODIS; TRMM; Random forest; Boosted regression trees; Cubist;
Keywords: کوبیسم; Digital soil mapping; Legacy data; Soil organic carbon; Random Forest; Cubist; Nigeria
Combining ancillary soil data with VisNIR spectra to improve predictions of organic and inorganic carbon content of soils
Keywords: کوبیسم; Soil carbon measurement with visible near infrared spectroscopy; Visible near-infrared spectroscopy; Ancillary soil data; Organic carbon; Inorganic carbon; Carbonate; Cubist;
A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data
Keywords: کوبیسم; CubeSat; Planet; Landsat; MODIS; Cubist; Machine-learning; VNIR; Spatio-temporal enhancement;
Evaluating machine learning approaches for the interpolation of monthly air temperature at Mt. Kilimanjaro, Tanzania
Keywords: کوبیسم; Spatial interpolation; Machine learning; Air temperature; Kriging; Cubist; Cross-validation;
Forest biomass estimation from airborne LiDAR data using machine learning approaches
Keywords: کوبیسم; Biomass estimation; Lidar remote sensing; Machine learning; Random forest; Cubist; Support vector regression; Linear mixed effects regression; Tree crown delineation
Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY
Keywords: کوبیسم; Hedonic model; Variable selection; Machine learning; Cubist; Random Forest; Environmental amenities;
Development of machine learning models of β-cyclodextrin and sulfobutylether-β-cyclodextrin complexation free energies
Keywords: کوبیسم; Sulfobutylether-β-cyclodextrin; β-Cyclodextrin; Complexation constant; Machine learning methods; Cubist; Random Forest
Estimating gully erosion contribution to large catchment sediment yield rate in Tanzania
Keywords: کوبیسم; Cubist; Data mining tool; Gully erosion; Sediment delivery ratio; Sediment yield
Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
Keywords: کوبیسم; Species presence; Predictive mapping; Forest inventory; GAMs; Classification trees; Regression trees; See5; Cubist; Stochastic gradient boosting