MONTEFIORE INSTITUTE

MONTEFIORE INSTITUTE

Department of Electrical
Engineering and Computer Science

University of LiègeULg Faculty of EngineeringFacSALibrary News

Final year projects (TFE)

Requirements and guidelines for the preparation and submission of master theses

Here are procedures and requirements from the Faculty of Engineering for the submission and examination of master theses.

Companies proposing internships and/or master theses on a regular basis

TFE associés à l'unité de recherche Computer Networks (RUN)

Comparaison sémantique entre deux modules YANG

Efficient data export for in-situ OAM

GPU-based Network Function framework

High-speed middlebox applications

Protocol for input-aware Service Chaining

Transport protocol for machine/deep learning

TFE associés à l'unité de recherche Signal and Image Exploitation (INTELSIG)

Conception, implémentation et test du logiciel de l’ordinateur de bord du nanosatellite OUFTI-2

DOA (direction of arrival) estimation with a spherical array of microphones

Modélisation de l’impact de l’élasticité des joints sur l’affaiblissement acoustique des parois doubles.

Multipath (multichannel) active noise control

Validation d’un modèle de l’indice l’affaiblissement acoustique des parois à ossature bois

TFE associé à l'unité de recherche Software Reliability and Security

Iterating Octagonal Transformations

TFE associés à l'unité de recherche Systems and Modeling

10 sujets de TFEs 2017-2018: analyse d'images/apprentissage automatique/développement informatique avec la plateforme open-source Cytomine

Advanced risk scores in human genetics

Adversarial training for built-in invariance against multiple nuisance parameters

Analysis of epistatic interactions - an Euregional collaboration!

Bayesian optimization in the field

Deep Learning for Argumentation Mining

Deep Learning for customer experience management

Deep Learning for DSL lines troubleshooting

Deep Learning for Event Detection from Financial Texts

Design, analysis, implementation and/or application of Machine Learning algorithms (several subjects)

Designing rankings using spectral analysis

Efficient implementation of the Westfall and Young algorithm for resampling-based significance assessment in MB-MDR

Exploring physiological indicators of pregnancy outcomes using machine learning and longitudinal patient data

Fault detection and sensitivity in data assimilation

Gene network modelling using machine learning techniques

Graph matching in energy systems

Layout and representation of energy networks

Likelihood-free inference with scientific simulations

Matching algorithms for the ride sharing platform of the University

MB-MDR and the W-test: two alike interaction detection methods ?

Multiscale data reconciliation

Nonmonotone simplex algorithm using machine learning

Optimizing a function given by a neural network

Penalized regressions with application to gene network inference

Prediction accuracy of epistasis models

Robust Reinforcement Learning

The impact of correlated markers on gene-gene interaction studies