: This paper develops methodology and technique for pose tracking of an autonomous mobile robot (AMR) using a laser scanner. A low-complexity and accurate pose-tracking EKF-based a...
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
A major difficulty of heterogeneous process migration is how to collect advanced dynamic data-structures, transform them into machine independent form, and restor them appropriate...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We developed a general methodology for modelling reliability of complex systems based o...
We present a categorical theory of ‘well-behaved’ operational semantics which aims at complementing the established theory of domains and denotational semantics to form a cohe...