Analysis of Protein Folding Simulation with Moving Root Mean Square Deviation. [PDF]
J Chem Inf Model, 2023 We apply moving root-mean-square deviation (mRMSD), which does not require a reference structure, as a method for analyzing protein dynamics. This method can be used to calculate the root-mean-square deviation (RMSD) of structure between two specified ...
Maruyama Y +3 more
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Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not [PDF]
Geoscientific Model Development, 2022 The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide ...
T. O. Hodson
doaj +2 more sources
Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm [PDF]
Sensors, 2020 In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain reflectometry (COTDR), a high extinction ratio cascade structure of an acousto-optic modulator and semiconductor ...
Yu Wang +6 more
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Nonuniform mean-square exponential dichotomies and mean-square exponential stability [PDF]
Nonlinear Analysis, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hailong Zhu, Li Chen
openaire +4 more sources
Guidelines for the fitting of anomalous diffusion mean square displacement graphs from single particle tracking experiments. [PDF]
PLoS One, 2015 Single particle tracking is an essential tool in the study of complex systems and biophysics and it is commonly analyzed by the time-averaged mean square displacement (MSD) of the diffusive trajectories.
Kepten E +4 more
europepmc +2 more sources
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance [PDF]
, 2005 C. Willmott, K. Matsuura
semanticscholar +2 more sources
Self correction fractional least mean square algorithm for application in digital beamforming. [PDF]
PLoS OneShah SAA +5 more
europepmc +2 more sources
Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application
Frontiers in Applied Mathematics and Statistics, 2022 The linear regression model becomes unsuitable when the response variable is expressed as percentages, proportions, and rates. The beta regression (BR) model is more appropriate for the variable of this form.
Mohamed R. Abonazel +3 more
doaj +1 more source
Correction to: Spasticity assessment based on the Hilbert-Huang transform marginal spectrum entropy and the root mean square of surface electromyography signals: a preliminary study. [PDF]
Biomed Eng Online, 2019 Hu B, Zhang X, Mu J, Wu M, Wang Y.
europepmc +3 more sources
Sine-square deformed mean-field theory
Physical Review Research, 2022 We develop a theory that accurately evaluates quantum phases with any large-scale emergent structures, including incommensurate density waves or topological textures without a priori knowing their periodicity.
Masataka Kawano, Chisa Hotta
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