Searched for: subject:"Generalized%5C+Models"
(1 - 8 of 8)
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van Roessel, L. (author)
Active inference is a process theory arising from neuroscience which casts perception, action, planning and learning under one optimisation criterion: minimisation of free energy. Current literature on the implementation of discrete state-space active inference focuses on scalability, the comparison to reinforcement learning and its performance...
master thesis 2020
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Christensen, Thomas (author), Loh, Charlotte (author), Picek, S. (author), Jakobović, Domagoj (author), Jing, Li (author), Fisher, Sophie (author), Ceperic, Vladimir (author), Joannopoulos, John D. (author), Soljačić, Marin (author)
The prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques. Motivated by enormous advances in the field of machine learning, there has recently been a growing interest in developing complementary data-driven methods...
journal article 2020
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Kapadia, Husain (author)
Listening in noise is a challenging problem that affects the hearing capability of not only normal hearing but especially hearing impaired people. Since the last four decades, enhancing the quality and intelligibility of noise corrupted speech by reducing the effect of noise has been addressed using statistical signal processing techniques as...
master thesis 2019
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Dierickx, Jan (author)
A surrogate model for vortex generator flows has been created. This was done by developing a framework to generate a reduced order approximation of a discrete optimized source-term on a uniform grid. The discrete optimized source term uses the flow field of a vortex generator simulation with a body-fitted mesh (BFM) as objective. The reduced...
master thesis 2019
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Hermans, Carlos (author)
This thesis investigates several kinds of models of describing multi-commodity dynamical flow. Three models have been developed for a spatial logistic network, on which packages are delivered by vehicles and another<br/>model was developed to describe interactions between the customers, the stores and the deliverers, which does not explicitly...
master thesis 2019
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Kaak, Davey (author)
During a digital fraud investigation the search for relevant information in mailboxes of custodians is like finding a needle in a haystack. This time consuming task can, on various levels, be improved and made more efficient. Technology Assisted Review (TAR) is already one of the available machine learning algorithms that helps speeding up the...
master thesis 2019
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Lago, Jesus (author), De Brabandere, Karel (author), De Ridder, Fjo (author), De Schutter, B.H.K. (author)
Due to the increasing integration of solar power into the electrical grid, forecasting short-term solar irradiance has become key for many applications, e.g. operational planning, power purchases, reserve activation, etc. In this context, as solar generators are geographically dispersed and ground measurements are not always easy to obtain,...
journal article 2018
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Moriniere, F.D. (author)
Generating high-energy absorbing FML concepts is challenging because aluminium and composite failure mechanisms are acting concurrently during the impact process. Because the impact process involves energy transformation, an analytical energy balance method was used to assess the contribution of the material constituents in the low-velocity...
doctoral thesis 2014
Searched for: subject:"Generalized%5C+Models"
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