Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
—As the need for embedded systems to interact with other systems is growing fast, we see great opportunities in introducing the hardware-in-the-loop technique to the field of ha...
We describe the motivation and design of a novel embedded systems architecture for large networks of small devices, tha canonical example being wireless sensor networks. The archit...
Smart Messages (SMs) are migratory execution units used to describe distributed computations over mobile ad hoc networks of embedded systems. The main benefits provided by SMs ar...
Technological progress in integrated, low-power, CMOS communication devices and sensors makes a rich design space of networked sensors viable. They can be deeply embedded in the p...
Jason L. Hill, Robert Szewczyk, Alec Woo, Seth Hol...