Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
For memory constrained embedded systems code size is at least as important as performance. One way of increasing code density is to exploit compact instruction formats, e.g. ARM T...
Distributed embedded sensor networks are now being successfully deployed in environmental monitoring of natural phenomena as well as for applications in commerce and physical secur...
Richard Pon, Maxim A. Batalin, Victor Chen, Aman K...
Abstract. Many embedded systems use single-chip microcontrollers which have no on-chip RAM. In such a system, the processor registers must hold all live data values. Nanocontroller...
Shashi Deepa Arcot, Henry G. Dietz, Sarojini Priya...
Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena, coupled ...
Maxim A. Batalin, Mohammad H. Rahimi, Yan Yu, Duo ...