Modern embedded compute platforms increasingly contain both microprocessors and field-programmable gate arrays (FPGAs). The FPGAs may implement accelerators or other circuits to s...
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
This paper describes an experiment on extracting Hungarian multi-word lexemes from a corpus, using statistical methods. Corpus preparation—the addition of POS tags and stems—w...
The potential benefits of applying reactive distillation (RD) processes are taxed by significant complexities in process development and design. The design problem is formulated i...
C. P. Almeida-Rivera, P. L. J. Swinkels, J. Grievi...