Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Cancer-related investigations have long been in the limelight of biomedical research. Years of effort from scientists and doctors worldwide have generated large amounts of data at...
Hong Li, Ying He, Guohui Ding, Chuan Wang, Lu Xie,...
Background: High-throughput genome biological experiments yield large and multifaceted datasets that require flexible and user-friendly analysis tools to facilitate their interpre...
Model composition helps designers managing complexities by modeling different system views separately, and later compose them into an integrated model. In the past years, researche...
— Device scaling and large integration increase the vulnerability of microprocessors to transient errors. One of the structures where errors can be most harmful is the register ï...