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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

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Showing 1 to 20 of 205 for “"root-mean-square error"”.

  1. ENHANCING POLYMER INFORMATICS: A STUDY ON THE IMPACT OF FINGERPRINTING METHODS AND MACHINE LEARNING MODELS

    Yang, YuCornell University2023

    … PG fingerprinting consistently yielded lower root mean square error (RMSE) and normalized root mean square error (NRMSE) values than Morgan fingerprinting, indicating a more accurate representation of polymer structure. The work demonstrates the significant potential of multi-task learning and …

    cornell Repository record

  2. A case study of weather research and forecasting model over the Midwest USA

    Fu, KanUniversity of Illinois at Urbana-Champaign2017

    … better temperature (0.35 K decrease in hourly mean bias and 0.26 K decrease in hourly root mean square error), pressure (4.3 Pa decrease in hourly mean bias and 3.91 K decrease in hourly root mean square error) and relative humidity (1.44 % decrease in hourly mean bias and 1.76 % decrease in …

    uiuc Repository record

  3. Modeling the temperature response of small rivers to land cover changes using satellite-based spatial data

    Philippus, DanielColorado School of Mines. Arthur Lakes Library2022

    … Temperature Estimation) had a median validation Root Mean Square Error across gages of about 1.7 K. Building on the outputs from this model as well as validation against paired stream temperature gages, a second machine learning model was developed to predict the relationship between longitudinal …

    colo-mines Repository record

  4. Comparison of GPS Point Selection Methods for GIS Area Measurement of Small Jurisdictional Wetlands

    Shelton, MichaelUniversity of North Texas2001

    … for area calculation. Analysis of variance and Root Mean Square Error analyses determine that the transect method is an inferior point selection method in terms of accuracy and efficiency.

    unt Repository record

  5. An improved model-based observer for inertial navigation for quadrotors with low cost IMUs

    Hanley, David JohnUniversity of Illinois at Urbana-Champaign2015

    … that our proposed observer achieves lower root mean square error than three other state-of-the-art model-based observers.

    uiuc Repository record

  6. Effects of Organizational Climate, Feedback-Seeking Environment and Innovation Characteristics on the Implementation of a 360-Degree Feedback System

    Bartle, Simon Alan2019

    … for the model was poor (using generalized least squares estimates: the Non-Normed Fit Index (NNFI) = .95, Comparative Fit Index (CFI) = .96; Root Mean Square Error of Approximation (RMSEA) = .16; using maximum likelihood estimates: NNFI = .37, CFI = .48; RMSEA = .18) thus failing to provide …

    odu Repository record

  7. Modelling text meta-properties in automated text scoring for non-native English writing

    Zhang, MengUniversity of Cambridge2019

    … model on the development sets in terms of root-mean-square error. Furthermore, the transfer-learning model utilising multiple datasets tuned on each development set is always better than the baseline model on the corresponding test set. We found that different datasets favour different meta …

    cambridge Repository record

  8. Utilizing Google Trends data for effective modeling of COVID-19 outcomes: a vector auto regression (VAR) approach

    Osei, Gertrude2023

    … determine VAR model input search terms. RMSE (root mean square error), MAE (Mean Absolute Error), MAPE (Mean Absolute Percentage Error), and MASE (Mean Absolute Scaled Error) were used to compare forecast accuracies. Also analyzed are Long-Covid search trends.

    utc Repository record

  9. Specifics of forced-convection heat transfer in a vertical 7-element bundle cooled with upward flow of SuperCritical Water

    Clark, Scott E.University of Ontario Institute of Technology2020

    … against 35 common Nu correlations, using Root Mean Square error and graphical investigation. The assessment indicates the proposed Nu correlation is the most suitable for 7-rod bundles and bare tubes. One typical Canadian SCWR design is confirmed based on maximum fuel centreline and sheath …

    uoit Repository record

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

    Horwitz-Martin, Rachelle (Rachelle Laura)Massachusetts Institute of Technology2014

    … subjects' Beck MDD 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 …

    mit Repository record

  11. Greenhouse solar drying and thin layer drying of fresh Kapenta(Stolothrissa Tanganicae)

    Aduke, Ngira RhodaThe University of Zambia2016

    … drying models by using non-linear least squares regression analysis. All the models were compared according to three statistical parameters, i.e. coefficient of correlation ( 2R ), the reduced chi-square ( 2 x ) and the root mean square error (RMSE). It was found that the coefficient of …

    zimbabwe Repository record

  12. Greenhouse solar drying and thin layer drying of fresh Kapenta(Stolothrissa Tanganicae)

    Aduke, Ngira RhodaThe University of Zambia2016

    … drying models by using non-linear least squares regression analysis. All the models were compared according to three statistical parameters, i.e. coefficient of correlation ( 2R ), the reduced chi-square ( 2 x ) and the root mean square error (RMSE). It was found that the coefficient of …

    zambia Repository record

  13. A neural fuzzy approach to modeling the thermal behavior of power transformers

    Nguyen, Huy HuynhVictoria University2007

    … in temperature prediction in terms of Root Mean Square Error (RMSE) and peak error.

    vu-aus Repository record

  14. THEORETICAL INVESTIGATION AND PERFORMANCE ASSESSMENT OF REVERSED HYSTERESIS DELTA SIGMA MODULATOR DESIGN

    Althomali, Raed2016

    … (SFDR), the signal to noise ratio (SNR), and the root mean square error (RMS). It studies the second-order R-HDSM. Finally, it compares the first-order R- HDSM and the second-order R-HDSM in terms of the signal to noise ratio (SNR).

    siu-theses Repository record

  15. Policy and Structures of Japanese Import Demand for Beef and Feedgrains

    Jesdapipat, DusitUniversity of Illinois at Urbana-Champaign2014

    … have mixed results in the t-tests. By using the root-mean-square error (RMSE), turning-point percentage error (TPPE), the ex post and the historical simulations collectively as criteria, Model II was chosen as the best paradigm. Empirical implications drawn from this model indicated that Japan's …

    uiuc Repository record

  16. Insurance recommendation engine using a combined collaborative filtering and neural network approach

    Pillay, PrinavanDepartment of Statistical Sciences2021

    … on the collaborative filtering produced 0.13 root mean square error based on implicit feedback rating of 0-1, and an overall Top-3 classification accuracy (ability to predict one of the top 3 choices of a customer) of 83.8%. The neural network system achieved an accuracy of 77.2% on Top-3 …

    cape-town Repository record

  17. A time-varying subsidence parameterization for the atmospheric boundary layer

    Flagg, David D. (David Douglas)Massachusetts Institute of Technology2005

    … in the ABL are scarce and often marred by error, providing the motivation to model this important physical process and estimate its values from indirect but related observations. Constant parameterizations of-large- scale divergence and/or subsidence velocity are adequate for periods within …

    mit Repository record

  18. Determination of global solar radiation using temperature-based model for different climate conditions for Limpopo Province of South Africa

    Mathebe, Sampie Mphagala2022

    … were compared on the basis of the statistical error tests that is mean bias error (MBE), the mean percentage error (MPE) and the root mean square error (RMSE). Based on the statistical results the model was found suitable to estimate monthly average daily global solar radiation for the regions …

    venda Repository record

  19. Utilizing Machine Learning Methods for Usability Evaluation in Learning Management Systems

    Torres Molina, Richard AndresVirginia Tech2024

    … Forest produces the best performance of average mean square error and root mean square error among machine learning algorithms. The results are promising, though there are alternatives for improvements for better performance of the System Usability Scale and UseLearn scores prediction. This …

    vt Repository record

  20. A unified approach to the formulation of non-consistent rod and beam mass matrices for improved finite element modal analysis

    Young, Kuao-JohnVirginia Tech1990

    … rods and beams and to study their eigensolution errors. The optimized mass matrices minimize the root mean square errors of natural frequencies over a specified range of modes. The results of using a rod optimized mass matrix show that the root mean square error of natural frequencies for the …

    vt Repository record

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