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In real-time, it is highly essential to have an autonomous translator that can process the images and recognize the signs very fast at the speed of streaming images. In this paper, architecture is being proposed using the neural networks identification and tracking to translate the sign language to a voice/text format. Introduction of Point of Interest (POI) and track point provides novelty and reduces...
In order to enable a tracking system to work stably in the environment with fast maneuver and rapidly changing noise, a new hybrid architecture combining interacting multiple model (IMM) and neural network-based input estimate (IE) together is presented in this paper. In this architecture, IMM provides estimation of covariance of measurement noise to neural network-based IE, while IE enables the system...
The paper presents a review of electronic noses with emphasis of the usage of live olfactory receptor neurons as detectors interfaced with electronics. The paper focuses on the pattern recognition issue using artificial neural networks. The proposed architecture seems to be very simple and powerful at the same time. The architecture was verified in recognition of noisy images with characters where...
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