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Titlebook: Vasopeptides; Chemistry, Pharmacol Nathan Back,F. Sicuteri Book 1972 The Editor(s) (if applicable) and The Author(s), under exclusive licen

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John Morrow Stewart,A. H. Brady,James W. Ryangenerally led to higher classification accuracy and longer response times. There were also interactions between the variables, where for example different vehicle models were affected differently by stimuli size and limiting the response time. The results provide an overall indication of what level
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S. V. Talekar,K. Sundaramof the pressure patterns during the process of dynamic signature. Comparing the pressure values for genuine signatures and skilled forgeries allows us to detect forgery while having the minimal information about the genuine signature. This fact significantly decreases the need of storing very sensit
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P. Periti,F. Sicuteriarning will develop in the future. In general terms, we would predict an increasing transformation of what is learned. The technological augmentation of our world will reconstruct learners’ experiences of topics and issues. By offering a reorganized, rearticulated space, augmented learning can provo
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W. Dias da Silva,Rocival L. Araujo,Maria N. R. Vieira of the problem associated with complete submission, in program form, in the detection of system manipulation. To conduct the detector’s development, we developed an appropriate environment for data collection and preparation of these data to be used by supervised machine learning algorithms, allowi
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