The success of a company increasingly depends on timely information (internal or external) being available to the right person at the right time for crucial managerial decision-ma...
Andrew N. K. Chen, Paulo B. Goes, Alok Gupta, Jame...
Genetic algorithms are best suited for optimization problems involving large search spaces. The problem space encountered when optimizing the transmission parameters of an agile or...
Timothy R. Newman, Rakesh Rajbanshi, Alexander M. ...
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Identification of time-varying linear systems, which introduce both time-shifts (delays) and frequency-shifts (Doppler-shifts), is a central task in many engineering applications...
Constraint-based random simulation is state-of-the-art in verification of multi-million gate industrial designs. This method is based on stimulus generation by constraint solving...