… all user data by selecting the vector of the account in different social networks. Since each
user data has a different effect on user identification, … to assign weights for user data, while the …

… In this study, we considered the user identification task as a multi-class classification problem
that employs the one-against-many approach. Given k classes, one for each subject identity…

… user’s identification across multiple OSNs in order to develop searching engine for user
identification. … This paper has presented user’s identification across multiple OSNs in order to …

… -user eye-tracking algorithm using position estimation. Conventional eye-tracking algorithms
are typically suitable only for a single user… new multi-user eye-tracking algorithm is proposed…

… which fully demonstrates the effectiveness of OTAFPA algorithm in practical applications. To
further illustrate the impact of the OTAFPA on user identification, we compared several other …

… In addition, EEG-based user identification with supervised … the EEG-based user identification
technique, which is … ones for user identification and then utilize fewer electrodes?”. …

… In this paper, a scheme for blind user identification based on the MUSIC algorithm [4] is
proposed. The scheme relies only on the second-order statistics. The main contribution of this …

… to use the traditional algorithm to … user identification algorithm under multi-channel
cooperative conditions (β-MIAMC), which involves comprehensively assessing the cognitive user’s …

… In GRaaS, the machine learning algorithms which are usually computationally intensive …
The edge runs gait recognition algorithms and generates user identification services, and the …

… In this paper, we introduce a new parallel algorithm, named PSAIIM, for identification of
influential users in social network. In PSAIIM, we uses two semantic metrics: the user’s interests …