Due to the ever-growing usage of the computer, it has led to a rapid increment in the data that is being exchanged, published and stored in an assortment of digital form. This phenomenon has urged an active participation in the research area of the security domain. One of the main areas of this security domain in providing confidentiality, authentication and data integrity is steganography. Thi...

Each year, millions of dollars are invested on road maintenance and reparation all over the world. In order to minimize costs, one of the main aspects is the early detection of those flaws. Different types of cracks require different types of repairs; therefore, not only a crack detection is required but a crack type classification. Also, the earlier the crack is detected, the cheaper the repar...

Three studies, 2 conducted in Israel and 1 conducted in Bosnia and Herzegovina, demonstrated that affirming a positive aspect of the self can increase one's willingness to acknowledge in-group responsibility for wrongdoing against others, express feelings of group-based guilt, and consequently provide greater support for reparation policies. By contrast, affirming one's group, although similarl...

Class noise refers to the incorrect labeling of examples in classification, and is known to negatively affect the performance of classifiers. In this contribution, we propose a boosting-based hybrid algorithm that combines data removal and data reparation to deal with noisy instances. A experimental procedure to compare its performance against no-preprocessing is developed and analyzed, laying ...