نتایج جستجو برای: rmse
تعداد نتایج: 11845 فیلتر نتایج به سال:
Numerous algorithms have been proposed to retrieve chlorophyll-a concentrations in Case 2 waters; however, the retrieval accuracy is far from satisfactory. In this research, seven algorithms are assessed with different band combinations of multispectral and hyperspectral bands using linear (LN), quadratic polynomial (QP) and power (PW) regression approaches, resulting in altogether 43 algorithm...
To accurately estimate leaf area index (LAI) in mangrove areas, the selection of appropriate models and predictor variables is critical. However, there is a major challenge in quantifying and mapping LAI using multi-spectral sensors due to the saturation effects of traditional vegetation indices (VIs) for mangrove forests. WorldView-2 (WV2) imagery has proven to be effective to estimate LAI of ...
Spaceborne microwave remote sensing is widely used to monitor global environmental changes for understanding hydrological, ecological, and climate processes. A new global land parameter data record (LPDR) was generated using similar calibrated, multifrequency brightness temperature (Tb) retrievals from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanni...
The CERES-Maize model was developed to investigate how variations in environmental conditions, management decisions, and genetics interact to aect crop development and growth. A tile drainage subroutine was incorporated into CERES-Maize to improve soil-water and nitrogen leaching under subsurface tile drainage conditions. The purpose of this work was to evaluate the soil-water, soil-nitrogen, ...
امروزه استفاده از علم زمینآمار در تخمین ذخیره معادن به دلیل استفاده از ابزارهای قوی در شناسایی تغییرات موجود در منطقه همچون واریوگرام امری متداول است. این اصل تا زمانی استوار است که متغیر ناحیهای دارای ساختار فضایی مناسبی در منطقه باشد. در غیر این صورت زمینآمار نیز قادر به تخمین دقیق عیار در نقاط مختلف نخواهد بود. در اینگونه موارد که متغیر ناحیهای ساختار فضایی ضعیفی از خود نشان میدهد (به...
We consider a machine learning approach based on Gaussian process regression (GP) to position users in a distributed massive multiple-input multiple-output (MIMO) system with the uplink received signal strength (RSS) data. We focus on the scenario where noise-free RSS is available for training, but only noisy RSS is available for testing purposes. To estimate the test user locations and their 2...
A Correct diagnosis of tuberculosis (TB) can be only stated by applying a medical test to patient’s phlegm. The result of this test is obtained after a time period of about 45 days. The purpose of this study is to develop a data mining(DM) solution which makes diagnosis of tuberculosis as accurate as possible and helps deciding if it is reasonable to start tuberculosis treatment on suspected pa...
This study investigates the effects of the number of interpolation points on the prediction accuracy of segment angle trajectory during lifting. Ten participants performed various lifting tasks while a motion tracking system recorded their movements. Two-point through ten-point equal time-spaced segment angles extracted from major segment trajectory data captured by the motion tracking system w...
A spatially explicit map of aboveground carbon stored in Mexico’s forests was generated from empirical modeling on forest inventory and spaceborne optical and radar data. Between 2004 and 2007, the Mexican National Forestry Commission (CONAFOR) established a network of ~26,000 permanent inventory plots in the frame of their national inventory program, the Inventario Nacional Forestal y de Suelo...
The paper evaluates by means of Monte Carlo simulations the estimators of regression coefficients in the presence of spillover effects from one or more hotspots by the classical W-based spatial autoregressive model and the structural equation model with latent variables (SEM). The estimators are evaluated in terms of bias and root mean squared error (RMSE) for different values of the spatial au...
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