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Showing 1 to 20 of 323 for “"RMSE"”.

  1. Recognition, Mining, Synthesis and Estimation (Rmse) for Large-Scale Visual Data Using Multilinear Models

    … recognition, mining, synthesis, and estimation (RMSE) for large-scale tensor visual data in computer vision and graphics. We develop novel algorithms based on multilinear models to efficiently explore the relationship of multiple factors within the data and investigate some challenging …

    uiuc Repository record for Recognition, Mining, Synthesis and Estimation (Rmse) for Large-Scale Visual Data Using Multilinear Models (opens in a new tab)

  2. Comparative analysis of Machine Learning Algorithms for Estimating Global Solar Radiation at Selected Weather Stations in Vhembe District Municipality

    … fitting model with R² = 0.9902, MSE = 0.4085 and RMSE = 0.6391, followed by XGB with R² = 0.9898, MSE = 0.4245 and RMSE = 0.6515. RF was also found to be the best for Messina station with R² = 0.9636, MSE = 0.1.4138 and RMSE = 1.1890, followed by XGB model with R² = 0.9595, MSE = 1.5723 and RMSE = …

    venda Repository record for Comparative analysis of Machine Learning Algorithms for Estimating Global Solar Radiation at Selected Weather Stations in Vhembe District Municipality (opens in a new tab)

  3. Slip-Correction Methods for Improved Dead Reckoning in Autonomous Wheeled Robots

    … Results were both assessed visually, and using RMSE of the motion-captured path against the desired path. A custom-designed robot served as a standardized hardware platform for testing. Five methods were studied. First, an uncorrected method, measuring only odometry and incorporating a …

    queens Repository record for Slip-Correction Methods for Improved Dead Reckoning in Autonomous Wheeled Robots (opens in a new tab)

  4. A Model for Simulating Soil-Zone Processes at the Regional Scale

    … infiltration and interflow solution (0.014-0.052 RMSE) with only 6 grid cells and 0.11 seconds computation time compared to the 6250 grid cells and 40 seconds of computation time required for a stable solution to RE. MODFLOW-SZF solutions had negligible errors due to grid effects (<0.01 RMSE) …

    unr Repository record for A Model for Simulating Soil-Zone Processes at the Regional Scale (opens in a new tab)

  5. Using two-dimensional impedance maps to study acoustic properties of tissue microstructure

    … indicated that correlation coefficients with RMSE less than 1% resulted when the 2DZMs contained 15 object cross sections. Second, media having a spherical Gaussian correlation coefficient and power spectrum were studied. This study indicated that correlation coefficients with RMSE less than …

    uiuc Repository record for Using two-dimensional impedance maps to study acoustic properties of tissue microstructure (opens in a new tab)

  6. Vocal modulation features in the prediction of major depressive disorder severity

    … severity score by the root mean square error (RMSE), mean absolute error (MAE), and Spearman correlation between the actual Beck score and predicted score. Our lowest MAE and RMSE values are 8.46 and 10.32, respectively (Spearman correlation=0.487, p<0.001), relative to the mean MAE of 10.05 …

    mit Repository record for Vocal modulation features in the prediction of major depressive disorder severity (opens in a new tab)

  7. Quantifying the Impact of Pavement Surface Properties on Road Safety: A Data-Driven Approach

    … was evaluated using AIC, log-likelihood, RMSE, and Dispersion. Effects are reported as incidence rate ratios (IRR) with 95% confidence intervals, and residual structure was screened using cumulative residual (CURE) plots alongside a simple multicollinearity check. Across 14 functional …

    vt Repository record for Quantifying the Impact of Pavement Surface Properties on Road Safety: A Data-Driven Approach (opens in a new tab)

  8. Hakkuukoneen paikannetulla hakkuulaitteella kerätyn puutiedon hyödyntäminen lentolaserkeilaukseen perustuvan puustotulkinnan aputietona

    … puustotunnusten keskineliövirheen neliöjuuret (RMSE) ja harhat, jotka laskettin leimikkotason puustotunnusten ennusteiden ja vertailukohtana käytettyjen leimikkotason hakkuukonemittausten erotuksista. RMSE-arvot ja harhat laskettiin myös suhteutettuna vertailuaineiston puustotunnusten …

    helsinki Repository record for Hakkuukoneen paikannetulla hakkuulaitteella kerätyn puutiedon hyödyntäminen lentolaserkeilaukseen perustuvan puustotulkinnan aputietona (opens in a new tab)

  9. Assessing the Accuracy of Lidar as a Forest Inventory Tool Using Individual Stem Identification and Attribution

    … regression analysis yielding an R2 of 0.59 and RMSE of 188/ha. The difference in number of lidar versus field trees also differed by density. For those plots with a density greater than 600 trees/ha, the number of stems detected by lidar was 26% lower than field measured stems. For those plots …

    montana-tech Repository record for Assessing the Accuracy of Lidar as a Forest Inventory Tool Using Individual Stem Identification and Attribution (opens in a new tab)

  10. Assessing the Accuracy of Lidar as a Forest Inventory Tool Using Individual Stem Identification and Attribution

    … regression analysis yielding an R2 of 0.59 and RMSE of 188/ha. The difference in number of lidar versus field trees also differed by density. For those plots with a density greater than 600 trees/ha, the number of stems detected by lidar was 26% lower than field measured stems. For those plots …

    montana Repository record for Assessing the Accuracy of Lidar as a Forest Inventory Tool Using Individual Stem Identification and Attribution (opens in a new tab)

  11. Assessment of Long-Term Changes in Water Quality from Halifax Region Lakes (Nova Scotia, Canada) Using Paleolimnological Techniques

    … were greater than the Root Mean Squared Error (RMSE) of the respective inference models were reconstructed for each of the 51 lakes. For example, a decrease in DI-pH greater than the RMSE of the pH model would be a strong indication of recent acidification, whereas an increase in DI-TP greater …

    queens Repository record for Assessment of Long-Term Changes in Water Quality from Halifax Region Lakes (Nova Scotia, Canada) Using Paleolimnological Techniques (opens in a new tab)

  12. Deep Learning-Enhanced Autonomous Aerial and Ground Robotics Using UWB and Lidar in GNSS-Denied Environments

    … in a 48% reduction in Root Mean Square Error (RMSE) and a 51% reduction in Range Covariance RMSE, with notable improvements of 0.41 meters in tunnels and 0.23 meters in fields. The framework also achieves a 26% reduction in multilateration RMSE and a 32% reduction in multilateration Covariance …

    york Repository record for Deep Learning-Enhanced Autonomous Aerial and Ground Robotics Using UWB and Lidar in GNSS-Denied Environments (opens in a new tab)

  13. Remote Sensing of Cyanobacteria in Case II Waters Using Optically Active Pigments, Chlorophyll a and Phycocyanin

    … coefficients of determination as high as 0.71, RMSE 17.59 ppb, for an aggregated dataset (n=54, p<0.0001). The Schalles et al. (2000) empirical algorithm for estimation of phycocyanin concentrations within the range of 2 to 160 ppb resulted in an r2 value of 0.70, RMSE 23.97 ppb (n=48, …

    iupui Repository record for Remote Sensing of Cyanobacteria in Case II Waters Using Optically Active Pigments, Chlorophyll a and Phycocyanin (opens in a new tab)

  14. Estimating forest attributes using laser scanning data and dual-band, single-pass interferometric aperture radar to improve forest management

    … had an R2 of 0.83 and a cross-validation (CV) RMSE of 0.5. The CV-RMSE for estimating number of trees on all 110 plots was 11.8 with an R2 of 0.92. Mean height to live crown was also well-predicted (R2 = 0.96, CV-RMSE = 0.8 m) with a one-variable model. In situ measurements of temperate mixed …

    vt Repository record for Estimating forest attributes using laser scanning data and dual-band, single-pass interferometric aperture radar to improve forest management (opens in a new tab)

  15. Modelagem matemática para previsão de parâmetros de qualidade de água em corpos hídricos

    … de clorofila foi o modelo NF (r=0,9396 e RMSE = 3,998), para a DBO foram as RNA (r = 0,9349 e RMSE = 0,6720) e para a Cianotoxina foi o SVM (r = 0,99 e RMSE =2,65). Em relação à estratégia híbrida adotada, na qual a WT foi utilizada no pré-tratamento dos dados de entrada dos modelos, foi …

    brazil-ufpe Repository record for Modelagem matemática para previsão de parâmetros de qualidade de água em corpos hídricos (opens in a new tab)

  16. Use of soft computing pattern recognition techniques to analyse tropical cyclones from meteorological satellite data

    … accuracy was measured at 78.05% with an RMSE of 0.028 T number. The 78.05% intensity classification accuracy was based on storm being recognised from a preliminary stage of tropical storms. The accuracy of hurricane or tropical cyclone intensity estimation from T1 onwards was recorded as …

    greenwich Repository record for Use of soft computing pattern recognition techniques to analyse tropical cyclones from meteorological satellite data (opens in a new tab)

  17. Evaluating digital image correlation speckle pattern quality using finite element‑based displacement fields

    … ground truth using the root mean squared error (RMSE). Correlations between the RMSE and the pattern metrics were examined to assess how spatial characteristics influence DIC accuracy. Strong correlations were observed between RMSE and the SSSIG, MIG, MIOSD, PSA, and 𝑅𝑝𝑒𝑎𝑘 within individual …

    stellenbosch Repository record for Evaluating digital image correlation speckle pattern quality using finite element‑based displacement fields (opens in a new tab)

  18. Inventorying trees in an urban landscape using small-footprint discrete return imaging lidar

    … for estimating tree height (R<sup>2</sup>=0.89, RMSE=1.3m), diameter at breast height (R<sup>2</sup>=0.82, RMSE=9.1cm), crown diameter (R<sup>2</sup>=0.90, RMSE=0.7m) and biomass (R<sup>2</sup>=0.67, RMSE=1.2t). Our results indicate that, while using lidar data alone can achieve the automation of …

    vt Repository record for Inventorying trees in an urban landscape using small-footprint discrete return imaging lidar (opens in a new tab)

  19. ASSESSING PERFORMANCE OF NCEP RAPID REFRESH MODEL TO PREDICT BOUNDARY LAYER PROPERTIES

    … be able to retrieve relative humidity with 20% RMSE but low correlations with R<sup>2</sup> – 0.4. The alternative is to explore meteorological forecasts (i.e. Rapid Refresh) to see if we can use them in the processing stream for aerosols. While the state of delay zero is assimilated, the …

    cuny Repository record for ASSESSING PERFORMANCE OF NCEP RAPID REFRESH MODEL TO PREDICT BOUNDARY LAYER PROPERTIES (opens in a new tab)

  20. Unified Net Willans Line Model for Estimating the Energy Consumption of Battery Electric Vehicles

    … with weight performs best with the lowest RMSE values at 0.384 kW, 0.747 kW, and 0.988 kW for predicting the UDDS, HWY, and US06 data points, respectively, and 0.653 kW for all three data sets combined. Consideration of accessory loads at 0.5 kW improves the model normalized by weight and …

    vt Repository record for Unified Net Willans Line Model for Estimating the Energy Consumption of Battery Electric Vehicles (opens in a new tab)

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