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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Review of Root-Mean-Square Error Calculation Methods for Large Deployable Mesh Reflectors
International Journal of Aerospace Engineering, 2022 In the design of a large deployable mesh reflector, high surface accuracy is one of ultimate goals since it directly determines overall performance of the reflector. Therefore, evaluation of surface accuracy is needed in many cases of design and analysis
Sichen Yuan
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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
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Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model [PDF]
Pattern Recognition, 2014 Amin Zollanvari, Edward R Dougherty
exaly +2 more sources
A novel extended Gumbel Type II model with statistical inference and Covid-19 applications
Results in Physics, 2022 Statistical models play an important role in data analysis, and statisticians are constantly looking for new or relatively new statistical models to fit data sets across a wide range of fields.
Showkat Ahmad Lone +3 more
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Bayesian minimum mean square error for transmissivity sensing
Physical Review Research, 2023 We address the problem of estimating the transmissivity of the pure-loss single-mode bosonic channel from the Bayesian point of view, i.e., when a prior probability distribution function (PDF) on the transmissivity is available.
Boyu Zhou +3 more
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Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature [PDF]
Geoscientific Model Development, 2014 Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be
T. Chai, R. R. Draxler
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Theoretical Structure and Applications of a Newly Enhanced Gumbel Type II Model
Mathematics, 2023 Statistical models are vital in data analysis, and researchers are always on the search for potential or the latest statistical models to fit data sets in a variety of domains. To create an improved statistical model, we used a T-X transformation and the
Showkat Ahmad Lone +5 more
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Sensors, 2023 This paper discusses the results of simulations relating to the performances of turbo codes, low density parity check (LDPC) codes, and polar codes over an additive white Gaussian noise (AWGN) channel in the presence of inter symbol interference ...
Adriana-Maria Cuc +2 more
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Normalized Root-Mean-Square Error (RMSE) of TorchDIVA motor signal.
, 2023 Normalized Root-Mean-Square Error (RMSE) of TorchDIVA motor signal.
Visar Berisha (2218258) +2 more
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