Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"Sciences informatiques"”.
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Standardisation and automatisation of the diagnosis of patients with disorders of consciousness: a machine learning approach applied to electrophysiological brain and body signals.
Advances in modern medicine have led to an increase of patients diagnosed with disorders of consciousness (DOC). In these conditions, patients are awake, but without behavioural signs of awareness. An accurate evaluation of DOC patients has medico-ethical and societal implications, and it is of …
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Learning of Multi-Dimensional, Multi-Modal Features for Robotic Grasping
While robots are extensively used in factories, our industry hasn't yet been able to prepare them for working in human environments - for instance in houses or in human-operated factories. The main obstacle to these applications lies in the amplitude of the uncertainty inherent to the environments …
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Genomic Association Screening Methodology for High-Dimensional and Complex Data Structures: Detecting n-Order Interactions
We developed a data-mining method, Model-Based Multifactor Dimensionality Reduction (MB-MDR) to detect epistatic interactions for different types of traits. MB-MDR enables the fast identification of gene-gene interactions among 1000nds of SNPs, without the need to make restrictive assumptions about …
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Virtualisation-Based Security Countermeasures in Software Runtime Systems
As systems become larger and more complex, the need to optimise the infrastructure in favour of reliability and redundancy becomes an imperative. Virtualisation technology seems to have partially fulfilled the needs dictated by growth by redefining the concept of infrastructure and paving the way …
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Systematic Cooperation in P2P Grids
P2P Grid computing seeks the convergence of Grid and P2P technologies. Deploying a P2P Grid middleware on a set of computers enables an organization to automatically barter computing time with other Internet-connected organizations. Such P2P exchanges of computing time enable individual Peers, i.e. …
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Learning to Predict End-to-End Network Performance
The knowledge of end-to-end network performance is essential to many Internet applications and systems including traffic engineering, content distribution networks, overlay routing, application-level multicast, and peer-to-peer applications. On the one hand, such knowledge allows service providers …
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Design and Implementation of a Distributed Lattice Boltzmann-based Fluid Flow Simulation Tool
Lattice Boltzmann-based (LB) simulations are well suited to the simulation of fluid flows in complex structures encountered in chemical engineering like porous media or structured packing used in distillation and reactive distillation columns. These simulations require large amounts of memory …
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Geometric optimization algorithms for linear regression on fixed-rank matrices
Nowadays, large and rapidly evolving data sets are commonly encountered in many modern applications. Efficiently mining and exploiting these data sets generally results in the extraction of valuable information and therefore appears as an important challenge in various domains including network …
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Impact of unified user-story-based modeling on agile methods: aspects on requirements, design and life cycle management
User Stories (US) are the most commonly used requirements artifacts within agile methods such as XP and Scrum. They are written in the form of text of maximum two lines in natural language using prose or following a specific template. Traditionally, they are written down on an index card and posted …
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GPU-enhanced power flow analysis
This thesis addresses the utilization of Graphics Processing Units (GPUs) to improve the Power Flow (PF) analysis of modern power systems. GPUs are powerful vector co-processors that have been very useful in the acceleration of several computational intensive applications. PF analysis is the …
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On the sets of real vectors recognized by finite automata in multiple bases
This thesis studies the properties of finite automata recognizing sets of real vectors encoded in positional notation using an integer base. We consider both general infinite-word automata, and the restricted class of weak deterministic automata, used, in particular, as symbolic data structures for …