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Nonexclusive classification characterizes many real problems in which a hard decision about data labels cannot be taken. In these cases, a decision system capable of fuzzy outputs is desirable, in order to well describe problem's nature and domain. In this paper, an algorithm pursuing this approach is presented. More precisely, a nonexclusive k-class problem is solved by the co-operation of k independent...
We propose a low cost prevention strategy for osteoporosis. Osteoporosis is a disease consisting in the structural deterioration of bones. This disease has a very high cost for the public health expense all over the world. Its main diagnostic tool is a radiographic analysis called computerized bone mineralometry, by which it is possible to measure the bone mineral density (BMD). Starting from the...
This paper presents a path-following system implemented with two different types of neural networks, that enables an autonomous mobile robot to return along a previously learned path in a dynamic environment. The path-following is based on data provided by an omnidirectional conical visual system, derived from the COPIS sensor, but with different optical reflective properties. The system uses optical...
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