2,334 research outputs found

    Diagnostic imaging in detecting recurrent and metastatic head and neck cancer

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    Leemans, C.R. [Promotor]Bree, R. de [Promotor]Castelijns, J.A. [Promotor]Comans, E.F.I. [Copromotor

    Boudewijn Dehandschutter, Polycarpiana. Studies on martyrdom and persecution in early christianity. Collected Essays. Edited by J. Leemans (coll. Bibliotheca Ephemeridum Theologicarum Lovaniensium, 205). 2007

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    Auwers Jean-Marie. Boudewijn Dehandschutter, Polycarpiana. Studies on martyrdom and persecution in early christianity. Collected Essays. Edited by J. Leemans (coll. Bibliotheca Ephemeridum Theologicarum Lovaniensium, 205). 2007. In: Revue théologique de Louvain, 39ᵉ année, fasc. 2, 2008. pp. 250-251

    The residually weakly primitive geometries of J3

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    We summarize the classification of all firm and residually connected geometries satisfying the conditions (IP) 2 and (2T) 1 and on which the Janko group J 3 acts flag-transitively and residually weakly primitively. We state some facts regarding the results. The complete list of geometries is available as a supplement to this note [Leemans 03c]. © A K Peters, Ltd.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Process discovery and exploration

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    Process mining, and in particular process discovery, have gained traction as a technique for analysing actual process executions from event data recorded in event logs. Process discovery aims to automatically derive a model of the process. Current process discovery techniques either do not provide executable semantics, do not guarantee to return models without deadlocks, or do not achieve a right balance between quality criteria

    Verleid in de boekhandel?

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    The CAPA Apple Quality Grading Multi-Spectral Image Database

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    <p>The CAPA Apple Quality Grading Multi-Spectral Image Database consists of multispectral (450nm, 500nm, 750nm, and 800nm) images of health and defected apples of bi-color, manual segmentations of defected regions, and expert evaluations of the apples into 4 quality categories. The defect types consist of bruise, rot, flesh damage, frost damage, russet, etc.  The database can be used for academic or research purposes with the aim of computer vision based apple quality inspection.</p> <p>The CAPA Apple Quality Grading Multi-Spectral Image Database is a propriety of ULG (Gembloux Agro-Bio Tech) - Belgium, and cannot be used without the consent of the ULG (Gembloux Agro-Bio Tech), Belgium. <br> For consent, contact<br> Devrim Unay, İzmir University of Economics, Turkey: [email protected]<br> OR<br> Marie-France Destain, Gembloux Agro-Bio Tech, Belgium: [email protected]</p> <p><br> In disseminating results using this database, <br> 1. the author should indicate in the manuscript that it was acquired by ULG (Gembloux Agro-Bio Tech), Belgium.<br> 2. cite the following article Kleynen, O., Leemans, V., & Destain, M.-F. (2005). Development of a multi-spectral vision system for the detection of defects on apples. Journal of Food Engineering, 69(1), 41-49.</p> <p>Relevant publications:<br> Kleynen et al., 2003 O. Kleynen, V. Leemans and M.F. Destain, Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting. Postharv. Biol. Technol.,  30  (2003), pp. 221–232.<br> Leemans and Destain, 2004 V. Leemans and M.F. Destain, A real-time grading method of apples based on features extracted from defects. J. Food Eng.,  61  (2004), pp. 83–89.<br> Leemans et al., 2002 V. Leemans, H. Magein and M.F. Destain, On-line fruit grading according to their external quality using machine vision. Biosyst. Eng.,  83  (2002), pp. 397–404.<br> Unay and Gosselin, 2006 D. Unay and B. Gosselin, Automatic defect detection of ‘Jonagold’ apples on multi-spectral images: A comparative study. Postharv. Biol. Technol.,  42  (2006), pp. 271–279.<br> Unay and Gosselin, 2007 D. Unay and B. Gosselin, Stem and calyx recognition on ‘Jonagold’ apples by pattern recognition. J. Food Eng.,  78  (2007), pp. 597–605.<br> Unay et al., 2011 Unay, D., Gosselin, B., Kleynen, O, Leemans, V., Destain, M.-F., Debeir, O, “Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision”, Computers and Electronics in Agriculture, 75(1), 204-212, 2011.<br>  </p&gt
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