Understanding crack growth behavior in engineering components subjected to cyclic fatigue loadings is necessary for design and maintenance purpose. Fatigue crack growth (FCG) rate strongly depends on the applied loading characteristics in a nonlinear manner, and when the mechanical loadings combine with environmental attacks, this dependency will be more complicated. Since, the experimental inv...

The objective of this study was to evaluate the imputation accuracy of parent-offspring trios under different scenarios. By using simulated datasets, the performance Bayesian LASSO in genomic prediction was also examined. The genome consisted of 5 chromosomes and each chromosome was set as 1 Morgan length. The number of SNPs per chromosome was 10000. One hundred QTLs were randomly distributed a...

Research on link prediction for social networks has been actively pursued. In link prediction for a given social network obtained from time-windowed observation, new link formation in the network is predicted from the topology of the obtained network. In contrast, recent advances in sensing technology have made it possible to obtain face-to-face behavioral networks, which are social networks re...

The accuracy of part-of-speech (POS) tagging for unknown words is substantially lower than that for known words. Considering the high accuracy rate of up-to-date statistical POS taggers, unknown words account for a non-negligible portion of the errors. This paper describes POS prediction for unknown words using Support Vector Machines. We achieve high accuracy in POS tag prediction using substr...

Mobility prediction algorithm is the significant aspect to improve QoS (Quality of Service) for heterogeneous wireless networks because it decreases handoff latency and preserves resources in arriving cells for users. Since existing mobility prediction algorithms based on GPS (Global Positioning System) often suffer from low prediction accuracy for complex and irregular trajectory, this paper c...

due to the importance of the import management, this study applies generalized ardl approach to estimate midas regression for wheat import value and to compare the accuracy of forecasts with those competed by the regression with adjusted data model. mixed frequency sampling models aim to extract information with high frequency indicators so that independent variables with lower frequencies are ...

The majority of currently available dynamic branch predictors base their prediction accuracy on the previous k branch outcomes. Such predictors sustain high prediction accuracy but they do not consider the impact of unbiased branches, which are difficult-to-predict. In this paper, we evaluate the impact of unbiased branches in terms of prediction accuracy on a range of branch difference predict...

in this paper a simple and effective expert system to predict random data fluctuation in short-term period is established. evaluation process includes introducing fourier series, markov chain model prediction and comparison (gray) combined with the model prediction gray- fourier- markov that the mixed results, to create an expert system predicted with artificial intelligence, made this model to...

Over past few decades a lot of approaches have introduced for data prediction practice and many of researchers are continuously introducing their unique ideas on a daily basis for enhancing the power of prediction system in different areas but each and every approach has its own limitation. One of the most limitations of existing prediction approaches is that they are designed with the strength...