Results 41 to 50 of about 6,946,449 (205)
Average Absolute Error and Root Mean Square Error for the reproduction number and the latent intensity in scenario C.
Stamatina Lamprinakou (14700944) +2 more
core +1 more source
Improving Accuracy of Solar Cells Parameters Extraction by Minimum Root Mean Square Error [PDF]
This paper presents a technique for enhancing the accuracy of parameters extraction of photovoltaic (PV) cells from experimental current-voltage (I-V) curve. This technique is based on entering nearly all the possible points of an I-V curve to extract the slopes near the open circuit voltage and short circuit current to determine approximate values of ...
Atia, Abdulhamid, Anayi, Fatih, Min, Gao
openaire +1 more source
Root Mean Square Error (RMSE) and coefficient of determination (R2) for different temperature products.
Jiangyan Gu (11592678) +6 more
core +1 more source
An Analytical Derivation of the Signal-in-Space Root-Mean-Square User Range Error
The concept of the signal-in-space (SIS) root-mean-square (RMS) user range error (URE) is used to evaluate the performance of multiple global navigation satellite systems (GNSSs); however, a complete analytical derivation has not been published.
Brent Renfro +5 more
doaj +1 more source
Root mean square error (RMSE) (cm) of perimeter estimation from terrestrial SfM photogrammetry.
Root mean square error (RMSE) (cm) of perimeter estimation from terrestrial SfM photogrammetry.
Michal Bošela (8555835) +5 more
core +1 more source
Coefficient of regression and root mean square error of published equations for drying kinetics of persimmon.
Rashid Al-Yahyai (3337566) +13 more
core +1 more source
Models of criterion evaluation of the image processing systems effectiveness
The criteria used to evaluate the effectiveness of image processing systems are investigated in the article. The requirements for performance criteria are analyzed.
O. Gertsiy
doaj
Forecast Assessment of CMA-GFS on the Meteorological Elements in the Northeast Hemisphere
Based on the daily forecast data initialized at 20:00 (Beijing time) of the CMA global forecast system (CMA-GFS) during the period from October, 2019 to December, 2020, the forecasting quality of the upper air meteorological elements in the Northeast ...
Chunjuan QI, Liujie PAN
doaj +1 more source
The normalized root mean square error in Fig. 3.
The normalized root mean square error in Fig. 3.
Ming Jiang (11433) +5 more
core +1 more source
Root mean square error (RMSE) and mean absolute error (MAE) values of cross-validation for the different sets of inverse distance weighting parameters.
Ismael H. Silveira (14123977) +3 more
core +1 more source

