Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
Digital system designs are the product of valuable effort and knowhow. Their embodiments, from software and HDL program down to device-level netlist and mask data, represent caref...
Andrew B. Kahng, John Lach, William H. Mangione-Sm...
In the past, the selection of resources to execute various warehouse operation services was done solely by experts. In this paper, a RFIDbased Resource Management System (RFID-RMS...
Harry K. H. Chow, King Lun Choy, W. B. Lee, K. C. ...