Recommendation system is a widely used machine learning technique that has many applications in E-commerce (Amazon, Alibaba), video streaming (Netflix, Disney+), social network (Facebook, Linkedin) ...

Mission: Deliver a modern database that seamlessly integrates traditional RDBMS capabilities with cutting-edge features like vector search, temporal queries, adaptive compression, and comprehensive ...

Automatic detection of macromolecular complexes is an open and challenging problem in cellular cryoelectron tomography. Existing computational methods rely on known structural templates or manually ...

Clustering is usually the first exploratory analysis step in empirical data. When the data set comprises graphs, the most common approaches focus on clustering its vertices. In this work, we are ...

In this study, a novel cluster index modulation (CIM) scheme, which is based on indexing the available clusters in the environment, is proposed for future mmWave communication systems. Exploiting the ...