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Face recognition systems constitute a significant proportion of robotic systems. Learning algorithms such as deep learning and machine learning provide state-of-the-art algorithms with highly improved recognition rates. A majority of these algorithms convert a face image into a feature matrix, holistic or local, matched against all the feature matrixes in gallery for recognition. However, there is...
Many path planning algorithms have previously been proposed for mobile robots to navigate from a start to a goal location in a given map. These planners generate a path which keeps a safe distance from the obstacles in the map. However, most of the global path planners generate a path with sharp and angular turns which is not desired for robot motion as robots must stop at these turns. A smooth path...
This paper presents a data mining technique for qualitative analysis of Hodgkin-Huxley model of cell excitability. Such problem cannot be solved analytically. Therefore we apply Monte-Carlo techniques for the generation of model parameters, and use data mining algorithm for classification of learning tuples obtained. As a result we attain a decision tree capable of classifying the excitability depending...
In this paper, by using data mining we can evaluate many patterns which will be use in future to make intelligent systems and decisions By data mining refers to various methods of identifying information or the adoption of solutions based on knowledge and data extraction of these data so that they can be used in various areas such as decision-making, the prediction value for the prediction and calculation...
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