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Artykuły w czasopismach na temat "Réseau multidimensionnel"
Shah, Narendra, i Giovanni Vatieri. "Conséquences des réalités socio-économiques urbaines sur la gestion stratégique des hôpitaux". Healthcare Management Forum 5, nr 4 (grudzień 1992): 12–20. http://dx.doi.org/10.1016/s0840-4704(10)61313-0.
Pełny tekst źródłaSalhi, Maroua, i Jacques Forest. "La valorisation organisationnelle : Une source de bien-être et de performance au travail". Ad machina: l'avenir de l'humain au travail, nr 3 (1.03.2020): 177–95. http://dx.doi.org/10.1522/radm.no3.1107.
Pełny tekst źródłade Marneffe, Emmanuelle, i Isabelle Lambotte. "Adolescence et santé mentale, quand les réseaux sociaux s’en mêlent… Le cas du cyber-harcèlement". Cahiers critiques de thérapie familiale et de pratiques de réseaux 71, nr 2 (26.10.2023): 63–79. http://dx.doi.org/10.3917/ctf.071.0063.
Pełny tekst źródłaBlanco Escoda, Xavier. "Introduction". Langues & Parole 5 (30.11.2020): 7–21. http://dx.doi.org/10.5565/rev/languesparole.61.
Pełny tekst źródłaZolnowski, V., i J. Belmin. "Apport de l’évaluation gérontologique multidimensionnelle comparé au plan personnalisé de santé au sein d’un réseau de santé". NPG Neurologie - Psychiatrie - Gériatrie 20, nr 117 (czerwiec 2020): 159–65. http://dx.doi.org/10.1016/j.npg.2019.12.007.
Pełny tekst źródłaBergot, C. "Suicide en Afrique : de la clinique à la prévention". European Psychiatry 29, S3 (listopad 2014): 641–42. http://dx.doi.org/10.1016/j.eurpsy.2014.09.174.
Pełny tekst źródłaWils, Thierry, i Aziz Rhnima. "Taxonomie des conflits entre le travail et la famille : une analyse multidimensionnelle à l’aide de cartes auto-organisatrices". Articles 70, nr 3 (5.10.2015): 432–56. http://dx.doi.org/10.7202/1033405ar.
Pełny tekst źródłaALLAMANO-KESSLER, Renaud, i Mohamed OUIAKOUB. "“Innovation and Supply Chain Management: Relationship, Collaboration and Strategies”, António Carrizo Moreira, Luís Miguel D. F. Ferreira et Ricardo A. Zimmermann, ed. Springer, 2018". Revue Française de Gestion Industrielle 37, nr 2 (31.10.2023): 87–93. http://dx.doi.org/10.53102/2023.37.02.1194.
Pełny tekst źródłaRae, Hazel Mac. "Older Women and Identity Maintenance in Later Life". Canadian Journal on Aging / La Revue canadienne du vieillissement 9, nr 3 (1990): 248–67. http://dx.doi.org/10.1017/s0714980800010692.
Pełny tekst źródłaEnríquez Pérez, Isaac. "Los laberintos de la globalización y sus manifestaciones en la dialéctica desarrollo/subdesarrollo: variaciones y notas críticas". Clivajes. Revista de Ciencias Sociales, nr 10 (3.12.2018): 66–94. http://dx.doi.org/10.25009/clivajes-rcs.v0i10.2547.
Pełny tekst źródłaRozprawy doktorskie na temat "Réseau multidimensionnel"
Yacoub, Slim. "Traitements multidimensionnels en temps réel des signaux électromyographiques respiratoires de surface par réseau d'électrodes NASICON". Université Joseph Fourier (Grenoble), 1996. http://www.theses.fr/1996GRE19001.
Pełny tekst źródłaBen, Chaabene Nour El Houda. "Détection d'utilisateurs violents et de menaces dans les réseaux sociaux". Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS001.
Pełny tekst źródłaOnline social networks are an integral part of people's daily social activity. They provide platforms to connect people from all over the world and share their interests. Recent statistics indicate that 56% of the world's population use these social media. However, these network services have also had many negative impacts and the existence of phenomena of aggression and intimidation in these spaces is inevitable and must therefore be addressed. Exploring the complex structure of social networks to detect violent behavior and threats is a challenge for data mining, machine learning, and artificial intelligence. In this thesis work, we aim to propose new approaches for the detection of violent behavior in social networks. Our approaches attempt to resolve this problem for several practical reasons. First, different people have different ways of expressing the same violent behavior. It is desirable to design an approach that works for everyone because of the variety of behaviors and the various ways in which they are expressed. Second, the approaches must have a way to detect potential unseen abnormal behaviors and automatically add them to the training set. Third, the multimodality and multidimensionality of the data available on social networking sites must be taken into account for the development of data mining solutions that will be able to extract relevant information useful for the detection of violent behavior. Finally, approaches must consider the time-varying nature of networks to process new users and links and automatically update built models. In the light of this and to achieve the aforementioned objectives, the main contributions of this thesis are as follows: - The first contribution proposes a model for detecting violent behavior on Twitter. This model supports the dynamic nature of the network and is capable of extracting and analyzing heterogeneous data. - The second contribution introduces an approach for detecting atypical behaviors on a multidimensional network. This approach is based on the exploration and analysis of the relationships between the individuals present on this multidimensional social structure. - The third contribution presents a framework for identifying abnormal people. This intelligent framework is based on the exploitation of a multidimensional model which takes as input multimodal data coming from several sources, capable of automatically enriching the learning set by the violent behaviors detected and considers the dynamicity of the data in order to detect new violent behaviors that appear on the network. This thesis describes achievements combining data mining techniques with new machine learning techniques. To prove the performance of our experimental results, we sums based on real data taken from three popular social networks
Sourty, Marion. "Analyse de la dynamique temporelle et spatiale des réseaux cérébraux spontanés obtenus en imagerie par résonance magnétique fonctionnelle". Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD002/document.
Pełny tekst źródłaThe functional magnetic resonance imaging (fMRI) is a perfect tool for mapping in a non- invasive manner the activity of the cortex, giving access to the functional organization of the brain. This organization of brain areas into complex networks remains a large topic of study, both from a fundamental research perspective, to better understand the development and function of the brain, and from a clinical perspective, for diagnostic purposes for instance. The resting-state networks in a given subject can be observed in fMRI studies where no motor or cognitive tasks are imposed to the subject. The first part of this thesis focused on the development of an automatic identification method of these networks. Performed at the subject level, this method selects all the resting-state networks proper to the subject. Beyond the detection and identification of these networks, the study of interactions between these networks in space and time, and more generally the analysis of the dynamic functional connectivity (DFC), is the subject of growing interest. This analysis requires the development of innovative methods of signal or image processing that, for now, are still exploratory. The second part of this thesis thus presents new approaches to characterize the DFC using the probabilistic framework of multidimensional hidden Markov models. Conversational mechanisms between brain networks can be identified and characterized at the resolution of the second. Two applications, first on a single subject then on a group, helped to highlight the changes of dynamic properties of interaction between networks under certain conditions or diseases
Delicik, Ecem Bilge. "Caractéristiques du réseau de collaboration et les performances des inventeurs. Une approche multidimensionnelle". Thesis, Université Côte d'Azur, 2022. https://tel.archives-ouvertes.fr/tel-03927537.
Pełny tekst źródłaThis dissertation presents three essays on inventors' collaboration networks and their inventive performance. The thesis intends to empirically test the relation between the structural characteristics of inventors' collaboration networks and inventors' performance (i.e., rate of inventions, novelty, and reuse of their output), one of most agreed result in the literature. . In doing so, it provides answers to a fundamental question from the innovation and social network literature and brings a new perspective to empirical analyses of network characteristics by disentangling the intensity and the diversity of shared knowledge and their structure. The empirical tests of the three essays rely on panel data of French inventors extracted from the PATSTAT database provided by the European Patent Office are used to examine the within- subject variation over time.The first essay analyses the extent to which individual inventive performance is influenced by the structural and relational characteristics of collaboration networks. The chapter elaborates a theoretical framework that relates four aspects of an inventor's network - the number of collaborators and indirectly connected inventors, the strength of collaborations, and brokered network structure (i.e., disconnections between an inventor's collaborators)- to the inventor's output. The second essay investigates how access to heterogeneous knowledge affects the relationship between the brokerage and the novelty of inventors' output. It distinguishes between structural advantages brought by the brokerage and accompanying opportunities in terms of knowledge and scrutinizes their effects on the level of novelty embedded in inventors' output. The last essay investigates the relationship between the brokerage and the reuse of inventors' output. The objective of this chapter is twofold. First, it aims to identify the influence of brokerage on the reuse of the broker's output by localized network members. Second, it investigates the moderating effect of cognitive proximity on the relationship between brokerage and reuse within the local network setup.Results from the longitudinal studies highlight that there is no simple, universal answer on how to design optimal networks for multiple facets of inventive performance. The thesis demonstrates that indirectly connected collaborators, in general, are found to have no influence on inventors' performance. Only close collaborators (i.e., collaborators located at a maximum of two path length distances from the focal inventor) is positively related to the focal inventor's performance. The analysis shows that the optimal structure of an inventor's collaboration network results from an inventor strongly connected to disconnected sets of collaborators. However, the study further demonstrates the influence of structure on novelty and reuse of generated ideas is contingent upon other features of collaboration networks. To do so, it distinguishes between structural advantages brought by the bridging structure and its accompanying representation of knowledge arbitrage and cognitive proximity. Results suggest that being at the center of a brokered network structure and knowledge specialized clique is positively associated with the diffusion of the inventors' ideas. Pinning down the mechanism explaining how the structure of a collaboration network affects the inventors' performance has important implications. This will inform inventors on how to optimize or adapt their collaborative networks to meet their expectations (i.e., productivity, creativity and influence), as well as help decision-makers design incentive schemes of collaborations that would maximize individual and organizational performance
Daoudi, Mohamed. "Classification interactive multidimensionnelle par les réseaux neuronaux et la morphologie mathématique". Lille 1, 1993. http://www.theses.fr/1993LIL10134.
Pełny tekst źródłaLung-Yut-Fong, Alexandre. "Détection de ruptures pour les signaux multidimensionnels. Application à la détection d'anomalies dans les réseaux". Phd thesis, Télécom ParisTech, 2011. http://pastel.archives-ouvertes.fr/pastel-00675543.
Pełny tekst źródłaLung-Yut-Fong, Alexandre. "Détection robuste de ruptures pour les signaux multidimensionnels : application à la détection d'anomalies dans les réseaux". Paris, Télécom ParisTech, 2011. https://pastel.hal.science/pastel-00675543.
Pełny tekst źródłaThe aim of this work is to propose non-parametric change-point detection methods. The main application of such methods is the use of data recorded by a collection of network sensors to detect malevolent attacks. The first contribution of the thesis work is a decentralized anomaly detector. Each network sensor applies a rank-based change-point detection test, and the final decision is taken by a fusion center which aggregates the information transmitted by the sensors. This method is able to process a huge amount of data, thanks to a clever filtering step. In the second contribution, we take into account the dependencies between the different sensors to improve the detection performance. Based on homogeneity tests that we have proposed to assess the similarity between different sets of data, the robust detection methods that we have designed are able to find one or more change-point in a multidimensional signal. We thus obtained robust and versatile methods, with strong theoretical properties, to solve a large collection of segmentation problems: network anomaly detection, econometrics, DNA analysis for cancer prognosis… The methods that we proposed are particularly adequate when the characteristics of the analyzed data are unknown
Thiebaut, Carole. "Caractérisation multidimensionnelle des images astronomiques : application aux images TAROT". Toulouse, INPT, 2003. http://www.theses.fr/2003INPT022H.
Pełny tekst źródłaLiu, Quan. "Modélisation bayésienne des interactions multidimensionnelles dans un système complexe : application à la gestion des risques de crues". Thesis, Toulouse, INPT, 2018. http://www.theses.fr/2018INPT0038/document.
Pełny tekst źródłaThe work addresses the modelling and analysis of complex systems, characterized, in an uncertain and evolving framework, by numerous interactions between components. Within a risk management framework, the work aims to create a spatio-temporal causal model for the explanation and probability of certain feared events for diagnostic and prognostic purposes. The modelling work is based on the Bayesian approach and, more specifically, on the Bayesian Networks (BN). In an attempt to consider large-scale systems and represent their spatio-temporal complexity, their multi-scale and uncertain character in a dynamic framework, the idea of this work is then to extend the concept of Dynamic Bayesian Networks (DBN) and use the Object Oriented paradigm to apply it to Bayesian networks. In their current form, object-oriented Bayesian networks can create reusable but not instantiable instances. In other words, this implies that the generated object is likely to be called several times in the construction of a model, but without these parameters (marginal or conditional probabilities tables) being modified. This thesis aims to fill this gap by proposing a structured approach to construct large object-based systems (characterized by simple Bayesian networks) whose parameters can be updated according to the moment or context of their call and use. This concept is embodied in the form of Bayesian Multidimensional Networks by their propensity to combine several dimensions, whether spatial or temporal
Possemato, Andrea. "A Multidimensional Analysis of The Android Security Ecosystem". Electronic Thesis or Diss., Sorbonne université, 2021. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2021SORUS455.pdf.
Pełny tekst źródłaWith more than 2.5 billion active devices based on Android, Google's mobile operating system is now one of the most widely used in the world.Despite all the efforts made by Google to constantly improve the security of the entire Android ecosystem, there are still several problems that remain unresolved. In this thesis, we analyse in detail some of the open problems that affect different components and players that are part of and contribute to the Android ecosystem. We start with the security analysis of the network communication of Android applications, showing how, even if Android provides several techniques to secure network communications, developers sometimes are still forced to use cleartext protocols. Our study continues with the analysis of another issue that puts the security and privacy of the user at risk. We analyze the vulnerabilities exploited by malicious applications to perform phishing attacks and how there is still no system in place to allow applications to protect themselves against these attacks. Last, we analyze what we think may be the perfect representation of how difficult it is to ensure security in a domain as extensive as Android analyzing how customizations, even though beneficial to vendors, can lead to security problems that are lowering down the overall security of the Android system. In this thesis, for each of the problems, we analyze the issue in detail, we measure how widespread it is, and we propose an alternative solution with the aim of solving the problem, making a step towards a more secure Android ecosystem
Części książek na temat "Réseau multidimensionnel"
LEBEDEV, Eugene, i Hanna LIVINSKA. "Limites de diffusion et gaussiennes pour les réseaux de files d’attente multicanaux". W Théorie des files d’attente 1, 207–46. ISTE Group, 2021. http://dx.doi.org/10.51926/iste.9001.ch7.
Pełny tekst źródłaVEYRET, Yvette, i Richard LAGANIER. "Crise fondatrice du renouveau territorial". W Gestion des crises territoriales, 173–213. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9080.ch7.
Pełny tekst źródłaCoqueugniot, Hélène. "Paléo-imagerie par rayons X : une méthode d’exploration transdisciplinaire, de l’archéologie à la chirurgie Hélène". W Regards croisés: quand les sciences archéologiques rencontrent l'innovation, 139–56. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.3794.
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