While current manufacturing systems are built to avoid uncertainty, the increase of setup reconfiguration frequency and ever higher numbers of variants produced on the same syste...
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
We present a flexible method for bus and network on chip performance analysis, which is based on the adaptation of workload models to resemble various applications. Our analysis m...
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Mapping B-cell epitopes plays an important role in vaccine design, immunodiagnostic tests, and antibody production. Because the experimental determination of B-cell epitopes is ti...