Thesiss

In retail 85% of sales occur in physical stores. In the U.S. alone, people spend roughly 37 billion hours each year waiting in line in physical stores. This leads to 4.4 billion potential work productive hours lost or comparatively 4.4 billion hours of leisure, rest or time with…

In this study, an efficient new hybrid approach for multiple sensors data fusion and fault detection is presented, addressing the problem with possible multiple faults, which is based on conventional fuzzy soft clustering and artificial immune system (AIS). The proposed hybrid s…

This dissertation presents a Multi-scale Adaptive Sampling (AS) framework for combining measurements arriving from mobile robotic sensors of different scales, rates and accuracies, in order to reconstruct a parametric spatio-temporal field. The proposed sampling algorithm, “EKF-…