This paper presents a dynamic model of the kneading process based on artificial neural
networks. This dynamic neuronal model allows predicting the bread dough temperature and …

Most of the reported works in the field of character recognition systems achieve modest
results by using a single method for calculating the parameters of the character image and a …

228 M. Oujaoura et al. gap between semantic concepts and digital low-level features. One of
the approaches to deal with image annotation is image classification. From the segmented …

In order to improve the recognition rate, this document proposes an automatic system to
recognize isolated printed Tifinagh characters by using a fusion of 3 classifiers and a …

Autism spectrum disorder is a complex developmental disability. It is defined by a certain set
of behaviors. Persons with Autism Spectrum Disorders (ASD) frequently engage in …

Dans le contexte éducatif classique, l'observation et l'identification de l'état émotionnel de
l'apprenant permettent à l'enseignant d'entreprendre des actions qui vont influencer la …

In this paper we present a new algorithm called dynamic MinRMSV to minimize the risk
measure semi-variance (MSRV) of a stocks portfolio using neural networks and genetic …

Due to the large amounts of multimedia data prevalent on the Web, researchers and
industries are beginning to pay more attention to the Multimedia Semantic Web. Despite of …

Many features extraction method and classifiers are used singly, with modest results, for
automatic image annotation. In order to improve the semantic image annotation accuracy …

Hand detection is the first step of any hand biometric recognition process, which determines
the outcome of the following treatments. In this study, the authors propose a robust method …