—As the operating frequency of digital systems increases and voltage swing decreases, it becomes very important to characterize and analyze power distribution networks (PDNs) acc...
Wendemagegnehu T. Beyene, Chuck Yuan, Joong-Ho Kim...
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
The gain-based technology mapping paradigm has been successfully employed for finding minimum delay and minimum area mappings. However, existing gain-based technology mappers fail...
We present the design, implementation, and evaluation of a Time Division Multiplex (TDM) MAC protocol for multihop wireless mesh networks using a programmable wireless platform. E...
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...