The rising adoption and incorporation of computers into everyday life requires human-computer interaction methods to be efficient and easy to understand. Simultaneously, complexit...
Enis Afgan, Jeffrey G. Gray, Purushotham Bangalore
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Pervasive computing allows data to be collected using sensors and mobile devices. Recent studies, however, show that in emergency and crisis situations conventional access control ...
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...