Smart Handling of moderate loads Hasselt University
ERGO-Eyehand: Ergonomic Monitoring and Improvement Hasselt University
Optimizing advanced analytic tasks over distributed data Hasselt University
DELICIOS: An integrated approach to study the delegation of conflict- of-interest decisions to autonomous agents. Vrije Universiteit Brussel
We aim to explore if ...
An compact electrically pumped coherent broadband mid-infrared hybrid chalcogenide-Silicon-on-Insolutor source Ghent University
Many molecules have specific absorption bands in the so called mid-infrared wavelength region.
These absorption dips acts as a fingerprint for these molecules. Hence, cheap light sources in this
wavelength band would be useful . One can think of doing environmental monitoring, by measuring
gas concentration or the breath analysis of patients for diagnostic applications. The latter could
improve rapid detection of certain ...
Rational decision making under uncertainty: a new paradigm based on choice functions. Ghent University
This project aims to develop a mathematical framework for rational decision making under uncertainty, and to design reliable classification methods with it. One of its key features is that it does away with the traditional yet unrealistic assumption that there is always an optimal choice.
Instead, we allow for indecision by using choice functions, and use this to our advantage.
Ctrl-APP: An application control plane enabling appdaptive configurations of wireless networks and their verification Ghent University
Everyone that makes use of wireless communication technologies such as Wi-Fi has definitely
already experienced a badly performing network. Simply googling "better Wi-Fi performance" yields
64.000 results! Quite often this resulted in dissatisfaction and frustration, not only because of the
bad performance itself, but also the inability to pinpoint the cause of the problem. Why aren't
wireless networks sufficiently ...
Quality measurement of data models in Big Data systems Ghent University
Database systems are diverse in nature. They have limits with respect to the data model that can be used and usually focus on specific applications. Choosing the right system is therefore not always trivial. We propose a novel measurement system that allows to compare data models in a quantitative
manner by evaluating them in an operational, task-oriented context.
Efficient inference in large-scale queueing models using imprecise continuous-time Markov chains Ghent University
A continuous-time Markov chain is a probabilistic model that is successful at describing the
uncertain time evolution of various systems. Since it is also quite simple to make predictions about
its future behaviour, it has become a very popular tool in a large range of applied domains, including
engineering, artificial intelligence, mathematical finance, bio-informatics and queueing. However,
when the dimensions of the ...