Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Background: Metabolic networks present a complex interconnected structure, whose understanding is in general a non-trivial task. Several formal approaches have been developed to s...
We present the design, implementation, and initial results of a system for remote lecture attendance based on extending on-campus classrooms to accommodate remotely located studen...
Radu Dondera, Chun Jia, Voicu Popescu, Cristina Ni...
We study a problem where wireless service providers compete for heterogenous and atomic (non-infinitesimal) wireless users. The users differ in their utility functions as well as ...