In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Embedded systems often have limited amounts of available memory, thus encouraging the development of compact programs. This paper presents a link-time program compactor for the emb...
Matias Madou, Bjorn De Sutter, Bruno De Bus, Ludo ...
We show that a wide class of bidirectional data-flow analyses and program optimizations based on them admit declarative descriptions in the form of type systems. The salient feat...
: The theoretical study of quantum computation has yielded efficient algorithms for some traditionally hard problems. Correspondingly, experimental work on the underlying physical...
Steven Balensiefer, Lucas Kreger-Stickles, Mark Os...
We present an approach for automatically generating complete process plans, including xturing and CNC code, from high level shape feature part descriptions. The demonstration syst...
Mark Bloomenthal, Richard F. Riesenfeld, Elaine Co...