Results 111 to 120 of about 6,946,449 (205)

Group mean (± standard deviation) Pearson’s correlation coefficient (R) and root-mean-square-difference (RMSD, in degrees) of the m_IMU and r_IMU calculated knee kinematics compared to the OMC.

Group mean (± standard deviation) Pearson’s correlation coefficient (R) and root-mean-square-difference (RMSD, in degrees) of the m_IMU and r_IMU calculated knee kinematics compared to the OMC.
David G. Lloyd (292196), Bradley M. Cornish (17972990), Jayishni Maharaj (17669367), Kevin Abbruzzese (17972999), Beichen Shi (17972993), Laura E. Diamond (6320864), David John Saxby (15286972), Jenna Lyon (17972996), Price Gallie (6916775)   +8 more
core   +1 more source

Root mean square error and the KGE value of the simulated net radiation, sensible, latent heat flux and soil temperature.

, 2016
Root mean square error and the KGE value of the simulated net radiation, sensible, latent heat flux and soil temperature.
Qidong Yang (240902), Weidong Li (292436), Hongchao Zuo (3175596)   +2 more
core   +1 more source

Root Mean Square Error as a Robust Index of Gradient Speech Perception

This study introduces the root mean square error (RMSE) as a new metric for quantifying gradient speech perception in visual analog scale (VAS) tasks. By measuring the deviation of individual responses from an ideal linear mapping between stimulus and percept, RMSE offers a theoretically transparent alternative to traditional metrics like slope ...
Bing Cheng, Xiangrong Dai, Xi Xiang, Xiaojuan Zhang, Yang Zhang   +4 more
openaire   +1 more source

Comparing Huber's M-Estimator Function with the

, 2000
In any data set there some of the data will be bad or noisy. This study identifies two types of noise and investigates the effect of each in the training data of backpropagation neural networks.
David Clark, Mean Square Error
core  

Gompertz, logistic and Weibull population growth models fitted to each of the eight experimental population and values of Akaike Information Criterion (AIC), Root-Mean-Square Error (RMSE) and carrying capacity K.

Gompertz, logistic and Weibull population growth models fitted to each of the eight experimental population and values of Akaike Information Criterion (AIC), Root-Mean-Square Error (RMSE) and carrying capacity K.
Nicolas Ris (571703), Alexandra Auguste (571702), Laurent Kremmer (6688868), Xavier Fauvergue (467373), Zainab Belgaidi (18144044), Laurence Mouton (349454)   +5 more
core   +1 more source

A 209-Site DNA Methylation Predictor of Chronological Age Evaluated Under Empirical and Random Missingness. [PDF]

Aging Cell
Zhao X, Lu Y, Huang B, Wang Z, Yu T, Zhao R, Yu S, Wei S, Zeng Y.   +8 more
europepmc   +1 more source

Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework. [PDF]

World J Radiol
Chika CE.
europepmc   +1 more source

Accuracy of markerless motion capture in assessing sagittal-plane lower limb kinematics during running: a systematic review and meta-analysis. [PDF]

Front Bioeng Biotechnol
Gao M, An Y, Feng C, Yang Z, Xu Z, Mao D, Shang Q, Sun Z.   +7 more
europepmc   +1 more source

A geometry-guided sizing and static force modeling protocol for compact antagonistic cable-driven joints. [PDF]

MethodsX
Toleshev A, Yessirkepov S, Niyetkaliyev A, Kaiyrdykozha A, Ozhikenova A, Bazarbay L, Assylbek O, Yerbolat I.   +7 more
europepmc   +1 more source

Inter-system reliability of markerless motion capture in older hip and knee patients during walking. [PDF]

Front Med Technol
Stein L, Gschoßmann L, Barthel M, Dendorfer S.   +3 more
europepmc   +1 more source