Results 41 to 50 of about 6,896,512 (318)

Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning

Remote Sensing, 2023
The soil moisture from the South-to-North Water Diversion Middle Route Project is assessed in this study. Complex and variable geological conditions complicate the prediction of soil moisture in the study area.
Qingfeng Hu, Yifan Li, Wenkai Liu, Weiqiang Lu, Hongxin Hai, Peipei He, Xianlin Liu, Kaifeng Ma, Dantong Zhu, Peng Wang, Yingchao Kou   +10 more
doaj   +1 more source

Measurement invariance, validity, reliability, and factor structure examination of the creativity nurturing behaviour scale for teachers: comparisons across gender in thirteen countries

Creativity Studies, 2023
Creativity is fundamental to the overall progress of humanity and hence identified as a key competence required for being successful in the 21st century.
Ekta Sharma, Sandeep Sharma, Mohammed Amin Hamed Al-Qudah, Canan Yildiz, Dickson Adom, Debra Ferdinand, Zaina Mustafa Mahmoud Hamad, Alexandra Stavrianoudaki, Reza Afhami   +8 more
doaj   +1 more source

Analysis of the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) in Assessing Rounding Model

, 2018
Most existing Collaborative Filtering (CF) algorithms predict a rating as the preference of an active user toward a given item, which is always a decimal fraction. Meanwhile, the actual ratings in most data sets are integers.
Weijie Wang, Yanmin Lu
semanticscholar   +1 more source

Root mean square prediction error.

, 2018
Root mean square prediction error.
Yan Chen (4308), Iman YeckehZaare (5459468), Ark Fangzhou Zhang (5459465)   +2 more
core   +1 more source

Root Mean Square Error of Neural Spike Train Sequence Matching with Optogenetics [PDF]

GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017
6 pages, 5 figures.
Adam Noel, Dimitrios Makrakis, Andrew W. Eckford   +2 more
openaire   +3 more sources

Decomposition of the mean absolute error (MAE) into systematic and unsystematic components

PLoS ONE, 2023
When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
S. Robeson, C. Willmott
semanticscholar   +1 more source

Estimation of Population Mean under logarithmic for the Poisson Distributed Study and Auxiliary Variates

, 2020
: Use of suitable auxiliary information is always suggested in literature at the planning and estimation stage to make the estimators more powerful in terms of efficiency.
Khare, Supriya; Banaras Hindu University, Singh, Rajesh; Banaras Hindu University, Sharma, Prayas; University of Petroleum and Energy Studies   +2 more
core   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

An Analytical Derivation of the Signal-in-Space Root-Mean-Square User Range Error

Navigation
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, Jason Drotar, Austin Finn, Miquela Stein, Emery Reed, Eduardo Villalba   +5 more
doaj   +1 more source