Our recent work on energy-efficient implementation of machine learning algorithms for on-chip diagnostic applications has been accepted for publication in the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) special issue on “Energy-Quality Scalable Circuits and Systems for Sensing and Computing: from Approximate, to Communication-Inspired and Learning-Based”:
M. Shoaran, B. A. Haghi, M. Taghavi, M. Farivar, A. Emami, “Energy-Efficient Classification for Resource-Constrained Biomedical Applications” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2018
Paper accepted for publication in the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) 2018