Rong Bao

TL;DR: A lightweight evaluation system, which can be deployed on common user equipment in commercial mobile networks, is proposed for measuring the user experience of multimedia services and achieves stable and efficient performance in complex scenarios, which consist of different types of services and typical user behaviors.

TL;DR: This paper proposed the IMKPse model that utilized general PseAAC as the classification features and employed flexible neural tree as classification model and demonstrated that the proposed algorithm has superior performances than other approaches.

TL;DR: The results demonstrate that the proposed model have well performance at the sensitivity, specificity, F1 score and Matthews correlation coefficient (MCC) value in the identification modification with the approach of the selected features and algorithm combination.

TL;DR: In this article, an inertial scheduling policy was proposed to reduce the number of noneffective user exchange, and substitute self-organization policy for channel vector orthogonalization computation to reduce computational complexity.

TL;DR: This work has proposed a method named LipoFNT, which employed the two featuring sets, including the Position-Specific Scoring Matrix and bi-profile Bayesian, as the classification features and demonstrated the relationship between the lengths of peptide and identification of modification sites.