Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
Microfluidics-based biochips offer a promising platform for massively parallel DNA analysis, automated drug discovery, and real-time biomolecular recognition. Current techniques f...
In high-level synthesis for FPGA designs, scheduling and chaining of operations for optimal performance remain challenging problems. In this paper, we present a balanced schedulin...
David Zaretsky, Gaurav Mittal, Robert P. Dick, Pri...
The problem addressed in this work is to develop a comprehensive mathematical programming model for the efficient scheduling of oil-refinery operations. Our approach is first to d...
- To date, most high-level synthesis systems do not automatically solve present design problems, such as those related to timing associated with the physical implementation of mult...
Ying Yi, Mark Milward, Sami Khawam, Ioannis Nousia...