In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Software performance based on performance models can be applied at early phases of the software development cycle to characterize the quantitative behavior of software systems. We...
This paper describes a model and a setup for emulating fractal and multifractal noise for the measurement and evaluation of performance of ZigBee mesh networks intended for harsh ...
E cient and e ective studying of scienti c papers is an important part of software engineering education. Moreover, it contributes to the knowledge necessary to carry out software...
Rudolf K. Keller, Richard Lajoie, Nazim H. Madhavj...
In this paper we use neural networks to verify the similarity of real astronomical images to predefined reference profiles. We use an innovative technique to encode images that a...