JOURNAL METRICS

Impact Factor (JCR) 2023: 1.2 ℹImpact Factor (JCR):

The JCR provides quantitative tools for ranking, evaluating, categorizing, and comparing journals. The impact factor is one of these; it is a measure of the frequency with which the “average article” in a journal has been cited in a particular year or period. The annual JCR impact factor is a ratio between citations and recent citable items published. Thus, the impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years.

5-Year Impact Factor: 1.2 ℹ5-Year Impact Factor:

A 5-Year Impact Factor shows the long-term citation trend for a journal. This is calculated differently from the Journal Impact Factor, so it is not simply an average of the Impact Factors in the time period. The Impact Factor itself is based only on Web of Science Core Collection citation data from the last three years and thus reflects only recent impact. The Journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the Journal Citation Reports year.

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A New Conflict-Redistributing Combination Rule – Applications to Sonar Imagery and Radar Target Classification

Une Nouvelle Règle de Combinaison Répartissant le Conflit – Applications en Imagerie Sonar et Classification Rada

Arnaud Martin, Christophe Osswald

Page 71-82

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Combinaison Crédibiliste de Classifieurs Binaires

Benjamin Quost, Thierry Denœux, Marie-Hélène Masson

Page 83-101

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Finite Mixture Models Estimation with a Credal EM Algorithm

Estimation de Modèles de Mélanges Finis par un Algorithme EM Crédibiliste

Patrick Vannoorenberghe

Page 103-113

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Use of Evidence Theory for the Fusion and the Estimation of Relevance of Data Sources: Application to an Alcoholic Bioprocess

Théorie des Fonctions de Croyance pour la Fusion et L’Évaluation de la Pertinence des Sources D’Informations: Application À un Bioprocédé Fermentaire

Sébastien Régis, Andrei Doncescu, Jacky Desachy

Page 115-131

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Postal Decision Fusion Based on the Transferable Belief Model

Fusion de Décisions Postales Dans Le Cadre du Modèle des Croyances Transférables

David Mercier, Geneviève Cron, Thierry Denœux, Marie-Hélène Masson

Page 133-151

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Application of the TBM to the Communication Nodes Localization Using Proximity Measures.

Application du TBM pour la Localisation de Nœuds de Communication À Partir de Mesures de Proximité

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