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Aria JOZI,Tiago PINTO,Isabel PRAÇA,Francisco SILVA,Brigida TEIXEIRA,Zita VALE
Pág. 55 - 64
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P.D. Basalin,?.?. Timofeev
Pág. 49 - 55
A modification of the hybrid intellectual learning environment based on the concept of a knowledge based system of the production type, (analytical component) and neural network technologies for learning scenario planning (a synthetic component) is propo...
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Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie and Gianluca Zaza
Conventional methods for measuring cardiovascular parameters use skin contact techniques requiring a measuring device to be worn by the user. To avoid discomfort of contact devices, camera-based techniques using photoplethysmography have been recently in...
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Aris Lanaridis, Giorgos Siolas and Andreas Stafylopatis
Pattern classification is a central problem in machine learning, with a wide array of applications, and rule-based classifiers are one of the most prominent approaches. Among these classifiers, Incremental Rule Learning algorithms combine the advantages ...
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E. Onieva, P. Lopez-Garcia, A.D. Masegosa, E. Osaba, A. Perallos
Pág. 4458 - 4467
Accurate estimation of the future state of the traffic is an attracting area for researchers in the field of Intelligent Transportation Systems (ITS). This kind of predictions can lead to traffic managers and drivers to act in consequence, reducing the e...
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