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Titlebook: Research and Development in Intelligent Systems XXVIII; Incorporating Applic Max Bramer,Miltos Petridis,Lars Nolle Conference proceedings 2

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A Multimodal Biometric Fusion Approach based on Binary Particle Optimizatione-processed images of iris and the dynamics of signatures. We propose different fusion schemes at feature level, which we compare on a database of 108 virtual people. Moreover, in order to reduce the complexity of the fusion scheme, we implement a binary particle swarm optimization (BPSO) procedure
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Using Negation and Phrases in Inducing Rules for Text ClassificationL process has been shown to improve effectiveness of classification. However, although in the case of small datasets it is perfectly feasible to include the potential negation of all possible features as part of the feature space, this is not possible for datasets that include large numbers of featu
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Choosing a Case Base Maintenance Algorithm using a Meta-Case Base on a particular case base at a particular stage in a CBR system’s lifetime will vary. In this paper, we propose a meta-case-based classifier for selecting the best maintenance algorithm. The classifier takes in a description of a case base that is to undergo maintenance, and uses meta-cases—descrip
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A Multimodal Biometric Fusion Approach based on Binary Particle Optimizationmodal biometric system over unimodal biometric system. We also examine how the accuracy will be improved as several biometric data are integrated in an identification system. Results show a significant improvement in performance when classification performed at feature fusion level.
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2D Mass-spring-like Model for Prediction of a Sponge’s Behaviour upon Robotic Interactionsures that drive an evolutionary process that searches the parameter space of the model. The resulting calibrated model can make good predictions for 200 frames (6.667 seconds of real time video) even when tested with forces being applied in different positions to those trained.
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tries, such as Croatia, Indonesia, Turkey, UK, as well as the Nordic region, and they critically examine gender and education at all levels and in diverse sectors, and with varied lenses, such as neoliberalism 978-3-030-80904-1978-3-030-80902-7Series ISSN 2662-6691 Series E-ISSN 2662-6705
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