— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
— In this paper we describe an implementation and modeling of a novel fatigue monitoring sensor based on integration of piezoelectric transduction with floating gate avalanche in...
—This paper presents an energy-efficient turbo decoder based on border metric encoding, which is especially suitable for non-binary circular turbo codes. In the proposed method, ...