AbstractIn literature, the machine learning-based studies of sentiment analysis
are usually supervised learning which must have pre-labeled datasets to be large
enough in certain domains. Obviously, this task is tedious, expensive and
time-consuming to build, and hard to handle unseen data. This paper has
approached semi-supervised learning for Vietnamese sentiment analysis which has
limited datas... hiện toàn bộ
Internet of Things (IoT) suffers from vulnerable sensor nodes, which are likely
to endure data falsification attacks following physical or cyber capture.
Moreover, centralized decision-making and data fusion turn decision points into
single points of failure, which are likely to be exploited by smart attackers.
To tackle this serious security threat, we propose a novel scheme for enabling
distribu... hiện toàn bộ
AbstractThe retweet is a characteristic mechanism of several social network
services/social media, such as Facebook, Twitter, and Weibo. By retweeting
tweet, users can share an article with their friends and followers. However, it
is not clear how retweets affect the dominant behaviors of users. Therefore,
this study investigates the impact of retweets on the behavior of social media
users from th... hiện toàn bộ
Christopher Diaz, Alexander G. Nikolaev, Abhinav Perla, Alexander Veremyev, Eduardo L. Pasiliao
AbstractThe formation of robust communication networks between independently
acting agents is of practical interest in multiple domains, for example, in
sensor placement and Unmanned Aerial Vehicle communication. These are the cases
where it is only feasible to have the communicating actors modify the network
locally, i.e., without relying on the knowledge of the entire network structure
and the o... hiện toàn bộ