Searched for: subject%3A%22process%22
(21 - 40 of 271)

Pages

document
Wu, L. (author)
For almost three decades, side-channel analysis has represented a realistic and severe threat to embedded devices' security. As a well-known and influential class of implementation attacks, side-channel analysis has been applied against cryptographic implementations, processors, communication systems, and, more recently, machine learning models....
doctoral thesis 2023
document
Kumbul, U. (author)
Autonomous driving is a new emerging technology that will enhance traffic safety. Automotive radars are essential to attaining autonomous driving since they can function in adverse weather conditions and are used for detection, tracking, and classification in traffic settings. However, the dramatic growth in the number of radar sensors used for...
doctoral thesis 2023
document
Balestrini, F.I. (author)
Seismic methods are widely used for the exploration of the Earth’s subsurface. While they allow higher resolution compared to other geophysical methods, their performance depends on site and geological characteristics, and the volume and type of recorded information. Additionally, data processing plays a critical role in the efficacy of the...
doctoral thesis 2023
document
Deng, X. (author)
Tidal inlet systems, which consist of back–barrier basins connected to the open sea by one or multiple inlets, are found at many places along sandy coasts. They are valuable for ecology (breeding and feeding areas), economy (gas–mining and sand–mining) and recreation, and are important for coastal safety. But they are also sensitive to external...
doctoral thesis 2023
document
Bouter, P.A. (author)
In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of societally relevant, real-world problems, e.g., in the domains of engineering and health care. The field of Evolutionary Computation (EC) can be considered to be a sub-field of AI, concerning optimization using Evolutionary Algorithms (EAs), which...
doctoral thesis 2023
document
Burger, Franziska (author)
This thesis investigates how artificial intelligence can support e-mental health for depression, i.e. the delivery of treatment and prevention interventions for depression using technology. E-mental health for depression is a promising means for bridging the treatment gap since it addresses many of the barriers that prevent people in need of...
doctoral thesis 2022
document
Neustroev, G. (author)
Sequential decision-making under uncertainty is an important branch of artificial intelligence research with a plethora of real-life applications. In this thesis, we generalize two fundamental properties of the decision-making process. First, we show that the theory on planning methods for finite spaces can be extended to infinite but countable...
doctoral thesis 2022
document
Vermeer, C.M. (author)
Polyhydroxyalkanoates (PHA) are a family of biopolymers produced intracellular<br/>by a range of different bacteria.PHA have attracted widespread attention as<br/>an environmental friendly replacement of fossil-based polymers, because they<br/>have thermoplastic and/or elastomeric properties, and are also biobased and<br/>biodegradable.Moreover,...
doctoral thesis 2022
document
Bristogianni, T. (author)
Cast glass has great application potential in the architectural realm, yet, despite its possibilities and attractiveness, designers, engineers and developers are, from an early design stage, hesitant to employ it; the limited available and craft-based manufacturing facilities, the questionable quality of the product, the missing engineering data...
doctoral thesis 2022
document
Haschenburger, A.I. (author)
Composites are increasingly used in the aerospace industry due to their lightweight potential and flexible design options. The most widespread manufacturing process for large components made of fibre composites is still the open mould process. In this process, a composite component is placed on a mould and hermetically sealed with a vacuum bag...
doctoral thesis 2022
document
Floreani, S. (author)
Interacting particle systems (IPS) is a subfield of probability theory that provided a fruitful framework in which several questions of physical interests have been answered with mathematical rigor. An interacting particle system is a stochastic system consisting of a very large number of particles interacting with each other. The class of IPS...
doctoral thesis 2022
document
Zhang, D. (author)
For exploration and development of the earth, seismic surveys are acquired to provide information about the subsurface, within specifications of accuracy set by geologists and engineers, and within business constraints on budgets and turn-around time for processing and interpretation of the data. The case of seismic surveys that are acquired,...
doctoral thesis 2022
document
Gawehn, M.A. (author)
The aim of this study is to innovate wave-based depth-inversion towards smarter and faster algorithms to be used with various remote sensing instruments for broad community use. Wave-based depth inversion describes a branch of coastal remote sensing, which uses video recordings of a wave-field to derive depths and thereby create digital maps of...
doctoral thesis 2022
document
Velthoen, J.J. (author)
In this thesis we develop several statistical methods to estimate high conditional quantiles to use for statistical post-processing of weather forecasts. We propose methodologies that combine theory from extreme value statistics and machine learning algorithms in order to estimate high conditional quantiles in large covariate spaces. In...
doctoral thesis 2022
document
Cheng, D. (author)
This dissertation collects three scientific contributions, already published in international peer-reviewed journals, plus some extra considerations and work-in-progress. First, we present a model based on reinforced urn processes, which conjugates to the right-censored recovery process, and empirically apply it to the time series of recovery...
doctoral thesis 2022
document
Li, X. (author)
Fatigue damage of composite laminates has attracted considerable attention from research community and industry, in view that laminated structures are inevitable to suffer from fatigue loading during their service life. It is rather complicated to understand and explain, what governs the initiation, accumulation, interaction (synergy or...
doctoral thesis 2022
document
Sun, M. (author)
Atrial fibrillation (AF) is a frequently encountered cardiac arrhythmia characterized by rapid and irregular atrial activity, which increases the risk of strokes, heart failure and other heart-related complications. The mechanisms of AF are complicated. Although various mechanisms were proposed in previous research, the precise mechanisms of AF...
doctoral thesis 2022
document
Nambur Ramamohan, K. (author)
Microphones are the most popular devices used to convert sound into electrical signals. However, with the advent of sensor technology, transducers capable of measuring vector quantities are opening up many new possibilities. One such device is an acoustic vector sensor (AVS), which measures both acoustic pressure and particle velocity, and has...
doctoral thesis 2022
document
den Ouden, O.F.C. (author)
doctoral thesis 2022
document
Prins, Peter J. (author)
<b>Research question</b><br/>The topic of this dissertation is the numerical computation of the forward and inverse Non-linear Fourier Transform (NFT) for the Korteweg–de Vries equation (KdV), for sampled signals that decay sufficiently fast on both sides. With NFTs certain non-linear Partial Differential Equations (PDEs) can be solved in a way...
doctoral thesis 2022
Searched for: subject%3A%22process%22
(21 - 40 of 271)

Pages