186,477 research outputs found

    Les minéraux : leurs gisements, leurs associations, par P. Bariand, F. Cesbron, J. Geoffroy, 1977

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    Touret Jacques. Les minéraux : leurs gisements, leurs associations, par P. Bariand, F. Cesbron, J. Geoffroy, 1977. In: Bulletin de Minéralogie, volume 102, 4, 1979. pp. 448-449

    Michel Barlow, La foi de Gilbert Cesbron. 1989

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    Guelluy Robert. Michel Barlow, La foi de Gilbert Cesbron. 1989. In: Revue théologique de Louvain, 20ᵉ année, fasc. 4, 1989. p. 505

    J. L. Prévost, Le prêtre, ce héros de roman, de Claudel à Cesbron, 1953

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    Nédoncelle Maurice. J. L. Prévost, Le prêtre, ce héros de roman, de Claudel à Cesbron, 1953. In: Revue des Sciences Religieuses, tome 28, fascicule 2, 1954. p. 212

    Les minéraux. Leurs gisements. Leurs associations, 1. Cristallographie. Minéraux essentiels des roches intrusives, métamorphiques et leurs produits d'altération, par P. Bariand, F. Cesbron, J. Geffroy, 1977

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    Lagache Martine. Les minéraux. Leurs gisements. Leurs associations, 1. Cristallographie. Minéraux essentiels des roches intrusives, métamorphiques et leurs produits d'altération, par P. Bariand, F. Cesbron, J. Geffroy, 1977. In: Bulletin de la Société française de Minéralogie et de Cristallographie, volume 100, 6, 1977. p. 356

    Novel Methodology to Recover Road Surface Height Maps from Illuminated Scene through Convolutional Neural Networks

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    Road surface properties have a major impact on pavement’s life service conditions. Nowadays, contactless techniques are widely used to monitor road surfaces due to their portability and high precision. Among the different possibilities, laser profilometers are widely used, even though they have two major drawbacks: spatial information is missed and the cost of the equipment is considerable. The scope of this work is to show the methodology used to develop a fast and low-cost system using images taken with a commercial camera to recover the height information of the road surface using Convolutional Neural Networks. Hence, the dataset was created ad hoc. Based on photometric theory, a closed black-box with four light sources positioned around the surface sample was built. The surface was provided with markers in order to link the ground truth measurements carried out with a laser profilometer and their corresponding intensity values. The proposed network was trained, validated and tested on the created dataset. Three loss functions where studied. The results showed the Binary Cross Entropy loss to be the most performing and the best overall on the reconstruction task. The methodology described in this study shows the feasibility of a low-cost system using commercial cameras based on Artificial Intelligence

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt
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