Results 71 to 80 of about 6,946,449 (205)

Rapid determination of tannin in Danshen and Guanxinning injections using UV spectrophotometry for quality control [PDF]

Journal of Innovative Optical Health Sciences, 2018
A technique for the determination of tannin content in traditional Chinese medicine injections (TCMI) was developed based on ultraviolet (UV) spectroscopy.
Hongxia Huang, Yuanyuan Lv, Xiaoyi Sun, Shuangshuang Fu, Xuefang Lou, Zengmei Liu   +5 more
doaj   +1 more source

Quantum root-mean-square error and measurement uncertainty relations

, 2013
This second version has been substantially edited to ensure a balanced comparison of the two proposed quantum generalizations of the Gauss rms error concept.
Busch, Paul, Lahti, Pekka, Werner, Reinhard F   +2 more
openaire   +2 more sources

Root mean square error (RMSE) in the point test of best regional models.

, 2015
Root mean square error (RMSE) in the point test of best regional models.
Georgia Destouni (705797), Carmen Prieto (2312146)   +1 more
core   +1 more source

Comparison of root mean square error between PK and GBRSK.

Comparison of root mean square error between PK and GBRSK.
Xinyu Zuo (11909489), Yiping Xiong (9640235), Limei Dong (9617966)   +2 more
core   +1 more source

Research on the Robustness of Focus Measure Operators Based on RRMSE

Sensors
This paper establishes a quantitative relationship model between the relative root mean square error (RRMSE) and noise parameters under the additive white Gaussian noise model.
Weiying Piao, Chunxue Wang, Yongqi Han
doaj   +1 more source

Comparison of root mean square error between PK and kNN.

Comparison of root mean square error between PK and kNN.
Xinyu Zuo (11909489), Yiping Xiong (9640235), Limei Dong (9617966)   +2 more
core   +1 more source

Appendix C. Equations used for weighted averaging inference model and error estimates as root mean square error of prediction.

, 2016
Equations used for weighted averaging inference model and error estimates as root mean square error of ...
Gregory T. Pederson (837821), Anna Schliep (2924694), Douglas Cahl (2924700), Krista E. H. Slemmons (2924697), Craig E. Williamson (2288485), Jasmine E. Saros (250782), Jeffery R. Stone (639225), Daniel R. Engstrom (813021), Trisha Spanbauer (2924691)   +8 more
core   +1 more source

Root Mean Square Error (RMSE) values for air temperature vs. surface temperature in the central months of each season.

, 2021
Root Mean Square Error (RMSE) values for air temperature vs. surface temperature in the central months of each season.
Jiangyan Gu (11592678), Jun Zhu (84054), Junjie Liu (193511), Zhenzhen Liu (333682), Yu Pan (162493), Fen Qin (4067335), Ziwu Pan (11592675)   +6 more
core   +1 more source

Application of Near Infrared Spectroscopy for Quality Monitoring and Controlling in the Formulation Process of Simvastatin Tablets

工程科学与技术, 2015
:Near infrared spectroscopy (NIR) technology with chemometric techniques was applied to fast analyze various parameters in the process of Simvastatin tablets producing.The four parameters including water content,compression force,tablet hardness and ...
林翔, 彭熙琳, 陈晓春, 李晖
doaj  

Stop Using Root-Mean-Square Error as a Precipitation Target!

Artificial Intelligence for the Earth Systems
Abstract Root-mean-square error (RMSE) remains the default training loss for data-driven precipitation models, despite precipitation being semicontinuous, zero inflated, strictly nonnegative, and heavy tailed. This Gaussian-implied objective misspecifies the data-generating process because it tolerates negative ...
openaire   +2 more sources