This paper presents the artificial intelligence techniques to control a proton exchange membrane fuel cell system process using particularly a methodology of dynamic neural networ...
Youssef M. ElSayed, Moataz H. Khalil, Khairia E. A...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Sensor networks are emerging wireless technologies; their integration with the existing 2.5G, 3G mobile networks is a key issue to provide advanced services, e.g., health control....
— At the forefront of the recent advances in mobile networks is the development of sophisticated mobility management mechanisms that are usually based on Mobile IP and its deriva...
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...