Missing data in time series is a pervasive problem that puts obstacles the way of advanced analysis. A popular solution imputation, where fundamental challenge to determine what values should be filled in. This paper proposes SAITS, novel method based on self-attention mechanism for missing value imputation multivariate series. Trained by joint-optimization approach, SAITS learns from weighted ...

Social media platforms provide continuous access to user generated content that enables real-time monitoring of user behavior and of events. The geographical dimension of such user behavior and events has recently caught a lot of attention in several domains: mobility, humanitarian, or infrastructural. While resolving the location of a user can be straightforward, depending on the affordances o...

We consider the multi-user detection (MUD) problem in uplink grant-free non-orthogonal multiple access (NOMA), where point has to identify total number and correct identity of active Internet Things (IoT) devices decode their transmitted data. assume that IoT use complex spreading sequences transmit information a random-access manner following burst-sparsity model, some data adjacent time slots...

abstract childhood is a critical era of life which has the ability to significantly improve the behavioral, educational and social aspects of individuals. identification of suitable environment of growing up along with a real insight into child's needs, help researchers and designers to gradually step towards improving the personal and behavioral characteristics of the next generation. see...