Search results for "artificial intelligence"

showing 10 items of 6122 documents

Semantic and Multi-scale BIM/CIM/LIM

2019

Compliance checking for building models, cities and territories involve formalizing a set of model schema knowledge and constraint. The objective of our study is to propose: an information model to federate heterogeneous data sources describing an urban area (building and building environment) along with a method for formally specifying of urban rules. The overall goal we pursue is to be able to query and to verify data against different regulations and/or requirements. The purpose of this article is to describe our approach for interoperability among different data sources (e.g. IFC, CityGML) thus creating a consistent description of an urban area.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]FédérationSemantic interoperabilityCityGML[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]GISSIGInteropérabilité sémantique[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL][SPI.GCIV] Engineering Sciences [physics]/Civil EngineeringBIMIFCCIMFederation BIM
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An Essay on Denotational Mathematics

2019

Denotational mathematics is a new rigorous discipline of theoretical computer science that springs out from the attempt to provide a suitable mathematical framework in which laid out new algebraic structures formalizing certain formal patterns coming from computational and natural intelligence, software science, cognitive informatics, neuronal networks, and artificial intelligence. In this chapter, a very brief but rigorous exposition of the main formal structures of denotational mathematics is outlined within naive set theory.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM][MATH.MATH-CT] Mathematics [math]/Category Theory [math.CT][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]020204 information systems0202 electrical engineering electronic engineering information engineeringMathematics education020201 artificial intelligence & image processing[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]ComputingMilieux_MISCELLANEOUS[MATH.MATH-CT]Mathematics [math]/Category Theory [math.CT]Mathematics
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Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique

2015

11H30-13H00 Conférencier invité Christophe Cruz (Le2i, Université de Bourgogne) : « Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique » (Présidence de session : Eric Kergosien)

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebOntologie[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]inférencedonnées massivestexte
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From Text to Knowledge and Knowledge to Text.

2015

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebOntology[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]GIS
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Système de recommandation sémantique de news économiques pour la veille

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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Approche ontologique pour l'analyse de données spatiales, Journée Scientifique Pluridisciplinaire, Traitements Statistiques des Données Spatiales

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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HIGEOMES : bilan et perspectives

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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Usage de la sémantique : des services de catalogue à l’analyse des phénomènes dynamiques

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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An ABM to support collective reflection on the evolution of mobility

2021

International audience; Transport infrastructures play a large part in defining a smart, sustainable and resilient city. Planning transportation systems traditionally rely on well-known evolutions of roads or public transportation (roundabouts for security, etc.). Yet, infrastructures might also benefit from, or may have to adapt to, recent disruptive innovations concerning modalities, technologies and societal organization (autonomous cars, smart infrastructure, homeworking, etc.). However, innovative urban policies might either facilitate mobility and increase citizen well-being, or create negative side effects. Urban planning therefore requires the city to assess the impact of these disr…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Traffic simulation[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationCollective reflection supportProspective simulation[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Urban mobility
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Deep learning for dehazing: Benchmark and analysis

2018

International audience; We compare a recent dehazing method based on deep learning , Dehazenet, with traditional state-of-the-art approach, on benchmark data with reference. Dehazenet estimates the depth map from a single color image, which is used to inverse the Koschmieder model of imaging in the presence of haze. In this sense, the solution is still attached to the Koschmieder model. We demonstrate that this method exhibits the same limitation than other inversions of this imaging model.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][STAT.ML] Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML][ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]
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