On the positive side, in the special case when only two different values are allowed, 1 and $V$, we present a policy that achieves competitive ratio (1+(W+2/V)), where W is the maximal number of required processing cycles. We also consider copying costs during admission. 展开 ...
Variables, which were selected based on mechanistic and biological grounds, included age, sex, race, genotype and fibrosis stage were input into the logistic model with an automated forward variable selection algorithm to find the best parsimonious model to predict SVR in the overall and immigrant ...
[58] used the eXtreme Gradient Boosting (XGBoost) algorithm in machine learning to build a three-dimensional non-stationary aerodynamic reduced-order model. The prediction results of the machine learning model were compared with those of CFD, to evaluate and validate the reliability of the ...
Keywords: ARAIM; signal-in-space user range errors; false alert probability; availability 1. Introduction Advanced Receiver Autonomous Integrity Monitoring (ARAIM) can provide global users with integrity monitoring service for vertical guidance [1]. The ARAIM algorithm is affected by several error ...
The gauge is equipped with Tretyakov and Alter Shields [40,41] and placed inside a double-fence intercomparison reference (DFIR) to minimize the effect of wind [41–43]. It also uses a special filter algorithm to prevent incorrect measurement [44]. There are two years of measurements (2017...
Keywords: carsharing; GPS data; CLARA clustering algorithm; trip chain characteristics; use pattern 1. Introduction With the development of the Chinese economy, the popularization of private cars is increasing rapidly along with the growth of urban mobility demand [1]. This has resulted in ...
Predictive maps were created by interpolation using the Ordinary Kriging algorithm. The main results of this study were that, when transitioning from a rainfed to irrigation CS, SOM content is maintained in Cambisols but decreases in the other RSGs, pHw is maintained and EC increases in Fluvisols...
2. Random Forest Model The random forest (RF) model is a machine learning algorithm based on classification trees proposed by Breiman and Adele in 2001 [76]. Compared with multiple linear regres- sion (MLR), spatial autocorrelation, geographically weighted regression (GWR), and other models, ...
energies Article Multiporosity and Multiscale Flow Characteristics of a Stimulated Reservoir Volume (SRV)-Fractured Horizontal Well in a Tight Oil Reservoir Long Ren 1,2,* , Wendong Wang 3,* , Yuliang Su 3, Mingqiang Chen 1,2, Cheng Jing 1,2, Nan Zhang 1,2, Yanlong He 1,2 and Jian...
The modified multipath mitigation methods, including sidereal filtering algorithm and multipath hemispherical map (MHM) model, were used to improve BDS dynamic deformation monitoring. The results indicate that the sidereal filtering methods can reduce the root mean square (RMS) of positioning errors in ...