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Статті в журналах з теми "Visualisation compacte":
Khan, Mohammad, and Lian Loke. "LOCATIVE MEDIA INTERVENTIONISM – A CONCEPTUAL FRAMEWORK FOR CRITICAL REVIEW OF AUGMENTED REALITY APPLICATIONS IN THE PARTICIPATORY SPATIAL DESIGN CONTEXT." International Journal of Architectural Research: ArchNet-IJAR 11, no. 1 (March 30, 2017): 181. http://dx.doi.org/10.26687/archnet-ijar.v11i1.1140.
Van Baelen, Joël, Jean-Pierre Aubagnac, Lutz Hirsch, and Claire Prada. "Ein Werkzeug zur Visualisierung der Unterschiede verschiedener Multiple-Empfänger-Techniken bei Windprofilern." Meteorologische Zeitschrift 7, no. 6 (December 15, 1998): 303–8. http://dx.doi.org/10.1127/metz/7/1998/303.
O'BRIEN, F. J., D. TAYLOR, G. R. DICKSON, and T. C. LEE. "Visualisation of three-dimensional microcracks in compact bone." Journal of Anatomy 197, no. 3 (October 2000): 413–20. http://dx.doi.org/10.1046/j.1469-7580.2000.19730413.x.
Semeraro, Alfonso, Salvatore Vilella, and Giancarlo Ruffo. "PyPlutchik: Visualising and comparing emotion-annotated corpora." PLOS ONE 16, no. 9 (September 1, 2021): e0256503. http://dx.doi.org/10.1371/journal.pone.0256503.
Bohdal, Tadeusz, Małgorzata Sikora, and Karolina Formela. "Thermal and Visualisation Study of the HFE7100 Refrigerant Condensation Process." Acta Mechanica et Automatica 18, no. 1 (January 5, 2024): 60–67. http://dx.doi.org/10.2478/ama-2024-0008.
Dagens, Béatrice, Gil Cardoso, Marius Crouzier, Vy Yam, Frédéric Hamouda, Giovanni Magno, Aloyse Degiron, and Thomas Lopez. "La nanophotonique : des solutions pour des systèmes de visualisation améliorés et compactés." Photoniques, no. 115 (August 8, 2022): 34–40. http://dx.doi.org/10.1051/photon/202211534.
Rajesh Patil, Somnath Thigale, Swagat Karve, Vaishnaw Kale. "Classification of Defective and Non-Defective Products Using Convolutional Neural Networks in Quality Control." Proceeding International Conference on Science and Engineering 11, no. 1 (February 18, 2023): 213–22. http://dx.doi.org/10.52783/cienceng.v11i1.115.
Agius, Tyler, Soheil Sabri, and Mohsen Kalantari. "Three-Dimensional Rule-Based City Modelling to Support Urban Redevelopment Process." ISPRS International Journal of Geo-Information 7, no. 10 (October 18, 2018): 413. http://dx.doi.org/10.3390/ijgi7100413.
Pham, T. L., J. Balcaen, J. Y. Charmeau, and Yves Bereaux. "In-Line Visualisation of Polymer Plastication in an Injection Moulding Screw." Key Engineering Materials 554-557 (June 2013): 1683–91. http://dx.doi.org/10.4028/www.scientific.net/kem.554-557.1683.
Stanula, A., and W. Pilarczyk. "Combined carbon content assessment method for powder metallurgy." Journal of Achievements in Materials and Manufacturing Engineering 114, no. 1 (September 1, 2022): 15–21. http://dx.doi.org/10.5604/01.3001.0016.1479.
Дисертації з теми "Visualisation compacte":
Halnaut, Adrien. "Méthodes et outils d’analyse visuelle pour la compréhension, l’optimisation et l’élaboration de modèles de réseaux de neurones profonds." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0042.
Deep‐learning methods are widely used in a variety of research and industrial domains, especially in the data classification task. However, this technology is often notoriously compared to a “black box”. The user can understand input and output data of the network, but has little to no knowledge about its internal processing. This aspect of neural networks makes difficult to justify their predictions. Explainability and Interpretability of deep neural networks is a research domain merging with a variety of scientific communities. Its goal is to make easier the understanding of neural networks for both users and experts. Information visualization is one of the techniques used to answer this need. It consists in building tools which make easier the understanding and the analysis of usually high dimensional datasets, using visual abstractions and interactions. In this thesis, we make use of data extracted from the output of each layer of the neural network to interpret the model decisions using visualization methods. First, we show it is possible to visualize groups of samples processed similarly by the network using a Sankey diagram. This method asks for large data processing, which we enable by using machine clusters infrastructures used in BigData operations. In order to study more complex scenarios, involving larger datasets and heavier network architectures, we develop compact data visualization methods. We propose two approaches: the first one implies representation of data proximities using data reduction to the ℕ space, the other one implies post‐processing to ℝ�� → ℝ2 data projections to build compact grids of data. In order to evaluate the performances of these projection methods, we propose a user study protocol. Its goal is to measure the suitability of visualization methods in tasks related to the understanding of high‐dimensional data. Finally, we carry out an evaluation following this protocol to compare the efficiency between compact data visualization and scatter plot visualization. This evaluation is conducted using state of the art methods t‐SNE and Self‐Sorting Maps
Jamin, Clément. "Algorithmes et structures de données compactes pour la visualisation interactive d’objets 3D volumineux." Thesis, Lyon 1, 2009. http://www.theses.fr/2009LYO10133.
Progressive compression methods are now mature (obtained rates are close to theoretical bounds) and interactive visualization of huge meshes has been a reality for a few years. However, even if the combination of compression and visualization is often mentioned as a perspective, very few papers deal with this problem, and the files created by visualization algorithms are often much larger than the original ones. In fact, compression favors a low file size to the detriment of a fast data access, whereas visualization methods focus on rendering speed : both goals are opposing and competing. Starting from an existing progressive compression method incompatible with selective and interactive refinements and usable on small-sized meshes only, this thesis tries to reconcile lossless compression and visualization by proposing new algorithms and data structures which radically reduce the size of the objects while supporting a fast interactive navigation. In addition to this double capability, our method works out-of-core and can handle meshes containing several hundreds of millions vertices. Furthermore, it presents the advantage of dealing with any n-dimensional simplicial complex, which includes triangle soups or volumetric meshes
Hernando, Louis. "Sédimentation de suspensions non-colloïdales poly-dispersés et concentrées." Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14490/document.
From toothpaste to must of fermentation passing by painting, bed of a river, propellant of an rocket engine and blood, suspensions are present in many uses of our everyday life. The control of their implementation requires comprehension of their behavior and constitutes one of the challenges of nowadays research. In this work of thesis, we were interested in the sedimentation process of concentrated suspensions of non-colloidal and inert particles whose size distribution is mono, bi or tri-disperse. Two types of sedimentation were studied: decantation and thickening. The objective is to do an experimental and in a lesser way numerical study to characterize sedimentation the most completly possible with a detailed attention to flow and deposit structure, concentration profiles and determination of sedimentation modes. Used experimental means are the usual techniques of two-dimensional measurement (laser velocimetry and direct visualization) which authorize the data acquisition for configurations where particles evolve in the plan. These laser techniques were improved to simultaneously follow various particles populations and access to various outpouts such as velocities field, local volumic fraction, and velocities of various sedimentation fronts. A simple numerical tool was also built using Stokesian Dynamics and seizing the main part of the physical phenomena driving sedimentation leading to the modeling of the hydrodynamic interactions
Книги з теми "Visualisation compacte":
Müller, Brigitte. Reiki Chakra- Selbstbehandlung. Heile Dich selbst. Compact- Cassette. Geführte Visualisation und Affirmation. Erd, 1991.
Частини книг з теми "Visualisation compacte":
van Schooten, Boris W., Betsy van Dijk, Avan Suinesiaputra, Anton Nijholt, and Johan H. C. Reiber. "Evaluating Visualisations and Automatic Warning Cues for Visual Search in Vascular Images." In Cognitively Informed Intelligent Interfaces, 68–83. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1628-8.ch005.
"The Product Operator Formalism." In Essential Mathematics for NMR and MRI Spectroscopists, 561–97. The Royal Society of Chemistry, 2016. http://dx.doi.org/10.1039/bk9781782627975-00561.
Abdel-Hafez, Ahmad, Don Baker, Michelle Winning, and Alan Scanlon. "The Clinical Nursing and Midwifery Dashboard (CNMD): A State-Wide Implementation." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210654.
Тези доповідей конференцій з теми "Visualisation compacte":
Baudel, Thomas. "Visualisations compactes." In the 14th French-speaking conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/777005.777027.
Alguine, Vladimir, and Mir-Akbar Hessami. "Heat Transfer Investigation of Compact Plate Heat Exchangers Using Flow Visualisation." In Heat and Mass Transfer Australasia. Connecticut: Begellhouse, 2023. http://dx.doi.org/10.1615/978-1-56700-099-3.540.
Seifert, Christin, Jorg Schlotterer, and Michael Granitzer. "QueryCrumbs: A Compact Visualization for Navigating the Search Query History." In 2017 21st International Conference on Information Visualisation (IV). IEEE, 2017. http://dx.doi.org/10.1109/iv.2017.23.
Del Fatto, Vincenzo, Anton Dignoes, and Johann Gamper. "TIME°DIFF: A Visual Approach to Compare Period Data." In 2018 22nd International Conference Information Visualisation (IV). IEEE, 2018. http://dx.doi.org/10.1109/iv.2018.00017.
Schlotterer, Jorg, Christin Seifert, and Michael Granitzer. "QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals." In 2018 22nd International Conference Information Visualisation (IV). IEEE, 2018. http://dx.doi.org/10.1109/iv.2018.00024.
Tortech, L., A. Marcellan, H. van Melick, and A. Chateauminois. "Third Body Effects in the Wear of Polyamide Materials." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63895.
Sathiyanarayanan, Mithileysh, Cagatay Turkay, and Odunayo Fadahunsi. "Design and implementation of small multiples matrix-based visualisation to monitor and compare email socio-organisational relationships." In 2018 10th International Conference on Communication Systems & Networks (COMSNETS). IEEE, 2018. http://dx.doi.org/10.1109/comsnets.2018.8328288.
Dally, B. B., and C. B. Allison. "Development of a Compact Heat Exchanger consisting of tubes and interconnecting struts forming parallel plate arrays: Part I Flow Visualisation." In 8th Australasian Heat and Mass Transfer Conference. Curtin University of Technology. Connecticut: Begellhouse, 2005. http://dx.doi.org/10.1615/ichmt.2005.austheatmasstransfconf.120.
Ness, G., M. Langvik, and L. Strand Ree. "How to Develop a Comprehensive Scale Management Strategy and Use the Scale Risk Factor (SRF) for Chemical Optimisation." In SPE Oilfield Scale Symposium. SPE, 2024. http://dx.doi.org/10.2118/218711-ms.
Ahmed, Shaher, Mohamed Shekha, Suhaila Skran, and Abdelrahman Bassyouny. "Investigation of Optimization Techniques on the Elevator Dispatching Problem." In 9th International Conference on Computer Networks & Communications (CCNET 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120305.
Звіти організацій з теми "Visualisation compacte":
McCarthy, Noel, Eileen Taylor, Martin Maiden, Alison Cody, Melissa Jansen van Rensburg, Margaret Varga, Sophie Hedges, et al. Enhanced molecular-based (MLST/whole genome) surveillance and source attribution of Campylobacter infections in the UK. Food Standards Agency, July 2021. http://dx.doi.org/10.46756/sci.fsa.ksj135.