Results 231 to 240 of about 5,787,304 (258)

Modeling of solid oxide fuel cells and optimal parameter extraction at various operating data using an optimization method. [PDF]

PLoS One
Abaza A, El-Sehiemy RA, Ghoniem RM, Elbana MM, Bayoumi A.   +4 more
europepmc   +1 more source

Meta-heuristic and machine learning based functional capacity prediction using gait parameters in patients with heart failure. [PDF]

Sci Rep
Tanriverdi Eyolcu A, Doğru A, Buyrukoğlu S, Savci S, Ozcan Kahraman B, Yilmaz MB.   +5 more
europepmc   +1 more source

Performance evaluation of machine learning algorithms for predicting liquefaction-induced lateral displacement. [PDF]

Sci Rep
Ahmad M, Zubi MA, Biswas S, Rakib AR, Alzlfawi A, Hussan S, Haq S, Omar RC, Ullah Z, Tóth Z.   +9 more
europepmc   +1 more source

Improving the reliability of district-level estimates ofteenage pregnancy in Malawi using small area estimation

Kudowa E, Manda SO, Henrion MY.
europepmc   +1 more source

Multiresponse robust design: Mean square error (MSE) criterion [PDF]

Applied Mathematics and Computation, 2006
Most of the published literature on robust design methodology is basically concerned with optimization of a single response or quality characteristic which is often most critical to consumers. However, manufactured products are typically characterized by
Onur Köksoy
exaly   +2 more sources

MSE < Variance? A pitfall in calculating the mean square error

Model Assisted Statistics and Applications, 2011
When calculating the mean square error (MSE), it is possible to encounter a situation where the variance of a parameter of interest is larger than its mean square error.
Ng, Edmond Siu-Woon
exaly   +2 more sources