Search results for "Computing Methodologies"

showing 6 items of 16 documents

Mesh connectivity compression using convection reconstruction

2007

International audience; During a highly productive period running from 1995 to about 2002, the research in lossless compression of 3D meshes mainly consisted in a hard battle for the best bitrates. But for a few years, compression rates seem stabilized around 1.5 bit per vertex for the connectivity coding of usual meshes, and more and more work is dedicated to remeshing, lossy compression, or gigantic mesh compression, where memory and CPU optimizations are the new priority. However, the size of 3D models keeps growing, and many application fields keep requiring lossless compression. In this paper, we present a new contribution for single-rate lossless connectivity compression, which first …

Theoretical computer scienceTexture compressionLossless[ MATH.MATH-IT ] Mathematics [math]/Information Theory [math.IT]02 engineering and technologyLossy compression[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][MATH.MATH-IT] Mathematics [math]/Information Theory [math.IT][ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT]I.3.5 [Computing Methodologies]: Computer Graphics--Computational Geometry and Object Modeling0202 electrical engineering electronic engineering information engineeringPolygon meshComputingMethodologies_COMPUTERGRAPHICSMathematicsMeshConnected componentLossless compressionConnectivityDelaunay triangulationCompression[MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]020207 software engineering[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]020201 artificial intelligence & image processing[INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]ReconstructionAlgorithmImage compressionData compressionProceedings of the 2007 ACM symposium on Solid and physical modeling
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Le grand débat national, une aide pour prendre des décisions locales?

2021

The Great National Debate, decided by Emmanuel Macron at the beginning of 2019 to respond to the Yellow Vests social movement, allowed the collection of citizens’ contributions on the ecological transition via an online platform. In this article, we use the corpus constituted by these contributions to identify areas where participants are asking for the development of bicycle paths and railway facilities. For this purpose, we have created a classification model to identify contributions dealing with the theme of transportation and proposed a method for extracting patterns that reflect the contributors’ proposals. We then represented these patterns on maps, using the contributors’ postal cod…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.0: DiscourseMotifs[SHS.GEO] Humanities and Social Sciences/GeographyGrand Débat NationalTransport[SHS.GEO]Humanities and Social Sciences/GeographyPatternsACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Modélisation géométrique de formes fractales pour la CAO

2020

International audience

[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]
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Ibuprofen degradation using a Co-doped carbon matrix derived from peat as a peroxymonosulphate activator

2021

The wider presence of pharmaceuticals and personal care products in nature is a major cause for concern in society. Among pharmaceuticals, the anti-inflammatory drug ibuprofen has commonly been found in aquatic and soil environments. We produced a Co-doped carbon matrix (Co-P 850) through the carbonization of Co2+ saturated peat and used it as a peroxymonosulphate activator to aid ibuprofen degradation. The properties of Co-P 850 were analysed using field emission scanning electron microscopy, energy filtered transmission electron microscopy and X-ray photoelectron spectroscopy. The characterization results showed that Co/Fe oxides were generated and tightly embedded into the carbon matrix …

advanced oxidation processhapetushajotusBicarbonateIbuprofen010501 environmental sciencespharmaceuticals and personal care productsComputing Methodologies01 natural sciencesBiochemistryChlorideCatalysisCatalysisturveSoil03 medical and health scienceschemistry.chemical_compoundkatalyytit0302 clinical medicineX-ray photoelectron spectroscopyDissolved organic carbonmedicineEnergy filtered transmission electron microscopy030212 general & internal medicineibuprofenjäteveden käsittely0105 earth and related environmental sciencesGeneral Environmental Sciencecarbon-based catalystvedenpuhdistuscobalt oxidesCarbonizationorganic chemicalsAdvanced oxidation processlääkeaineetCarbonPeroxidesibuprofeenichemistryaktiivihiilioksiditQuantum TheoryWater Pollutants ChemicalNuclear chemistrymedicine.drugEnvironmental Research
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A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images.

2020

Background: Deep learning methods have become popular for their high-performance rate in the classification and detection of events in computer vision tasks. Transfer learning paradigm is widely adopted to apply pretrained convolutional neural network (CNN) on medical domains overcoming the problem of the scarcity of public datasets. Some investigations to assess transfer learning knowledge inference abilities in the context of mammogram screening and possible combinations with unsupervised techniques are in progress. Methods: We propose a novel technique for the detection of suspicious regions in mammograms that consist of the combination of two approaches based on scale invariant feature …

lcsh:Medical technologyclassificationlcsh:R855-855.5computer-assisted image processingdigital mammographydeep learningOriginal Articlecomputing methodologiesClassification computer‐assisted image processing computing methodologies deep learning digital mammography
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Computational Rationality as a Theory of Interaction

2022

Funding Information: This work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”). We thank our reviewers, Xiuli Chen, Joerg Mueller, Christian Guckelsberger, Sebastiaan de Peuter, Samuel Kaski, Pierre-Alexandre Murena, Antti Keuru-lainen, Suyog Chandramouli, and Roderick Murray-Smith for their comments. Publisher Copyright: © 2022 ACM. How do people interact with computers? This fundamental question was asked by Card, Moran, and Newell in 1983 with a proposition to frame it as a question about human cognition - in other words, as a matter of how information is processed in the mind. Recently, the question has been reframed as one of adaptation: how …

sopeutuminenmallintaminenatk-laitteetreinforcement learninguser modelscognitive scienceihmisen ja tietokoneen vuorovaikutushuman-centered computinginteractionadaptationHCI theory concepts and modelstekoälyartificial intelligencekognitiotiedephilosophical/ theoretical foundations of artificial intelligenceteoriatCognitive modelingtietokoneetcomputing methodologiesindividual differencescomputational rationality
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