Searched for:
(1 - 20 of 34)

Pages

document
Zhang, Y. (author)
Among all the contributors to fatal accidents, in-flight loss of control (LOC-I) remains one of the largest categories, as indicated by statistics of investigations into past civil aircraft accidents. In flight LOC generally refers to accidents in which the flight crew was unable to maintain control of the aircraft in flight, resulting in an...
doctoral thesis 2019
document
Baireuther, P.S. (author), Caio, M. D. (author), Criger, D.B. (author), Beenakker, CWJ (author), O'Brien, T.E. (author)
A quantum computer needs the assistance of a classical algorithm to detect and identify errors that affect encoded quantum information. At this interface of classical and quantum computing the technique of machine learning has appeared as a way to tailor such an algorithm to the specific error processes of an experiment - without the need...
journal article 2019
document
Bouts, Mark J.R.J. (author), Van Der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), Niessen, W.J. (author), More Authors (author)
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the...
journal article 2019
document
Konstantelos, Ioannis (author), Sun, Mingyang (author), Tindemans, S.H. (author), Issad, Samir (author), Panciatici, Patrick (author), Strbac, Goran (author)
The increasing uncertainty that surrounds electricity system operation renders security assessment a highly challenging task; the range of possible operating states expands, rendering traditional approaches based on heuristic practices and ad hoc analysis obsolete. In turn, machine learning can be used to construct surrogate models...
journal article 2019
document
Bijl, H.J. (author)
Wind turbines are growing bigger to becomemore cost-efficient. This does increase the severity of the vibrations that are present in the turbine blades, both due to predictable effects like wind shear and tower shadow, and due to less predictable effects like turbulence and flutter. If wind turbines are to become bigger and more cost-efficient,...
doctoral thesis 2018
document
Tajalizadehkhoob, S. (author)
In theory, hosting providers can play an important role in fighting cybercrime and misuse. This is because many online threats, be they high-profile or mundane, use online storage infrastructure maintained by hosting providers at the core of their criminal operations.
However, in practice, we see large differences in the security measures...
doctoral thesis 2018
document
Pezzotti, N. (author), Hollt, T. (author), van Gemert, J.C. (author), Lelieveldt, B.P.F. (author), Eisemann, E. (author), Vilanova Bartroli, A. (author)
Deep neural networks are now rivaling human accuracy in several pattern recognition problems. Compared to traditional classifiers, where features are handcrafted, neural networks learn increasingly complex features directly from the data. Instead of handcrafting the features, it is now the network architecture that is manually engineered. The...
journal article 2018
document
van Gent, P. (author), Melman, Timo (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)
The present study aims to add to the literature on driver workload prediction using machine learning methods. The main aim is to develop workload prediction on a multi-class basis, rather than a binary high/low distinction as often found in litearature. The presented approach relies on measures that can be obtained unobtrusively in the driving...
conference paper 2018
document
Witteveen, Annemieke (author), Nane, G.F. (author), Vliegen, Ingrid M.H. (author), Siesling, Sabine (author), IJzerman, Maarten J. (author)
Purpose. For individualized follow-up, accurate prediction of locoregional recurrence (LRR) and second primary (SP) breast cancer risk is required. Current prediction models employ regression, but with large data sets, machine-learning techniques such as Bayesian Networks (BNs) may be better alternatives. In this study, logistic regression...
journal article 2018
document
Prisacaru, A. (author), Palczynska, Alicja (author), Theissler, Andreas (author), Gromala, Przemyslaw Jakub (author), Han, Bongtae (author), Zhang, G.Q. (author)
Recent advancements in automotive technologies, most notably autonomous driving, demand electronic systems much more complex than those realized in the past. The automotive industry has been forced to adopt advanced consumer electronics to satisfy the demand, and thus it becomes more challenging to assess system reliability while adopting the...
journal article 2018
document
Brouwer de Koning, Susan G. (author), Baltussen, Elisabeth J.M. (author), Karakullukcu, M. Baris (author), Dashtbozorg, Behdad (author), Smit, Laura A. (author), Dirven, Richard (author), Hendriks, B.H.W. (author), Sterenborg, Henricus J.C.M. (author), Ruers, Theo J.M. (author)
This ex-vivo study evaluates the feasibility of diffuse reflectance spectroscopy (DRS) for discriminating tumor from healthy tissue, with the aim to develop a technology that can assess resection margins for the presence of tumor cells during oral cavity cancer surgery. Diffuse reflectance spectra were acquired on fresh surgical specimens...
journal article 2018
document
Moreira Matias, L.A. (author), Farah, H. (author)
Recently, cutting edge technologies to facilitate data collection have emerged on a large scale. One of the most prominent is the in-vehicle data recorder (IVDR). There are multiple ways to assign the IVDR's data to the different drivers who share the same vehicle. Irrespective of the level of sophistication, all of these technologies still...
journal article 2017
document
Biljecki, F. (author), Sindram, M. (author)
Building datasets (e.g. footprints in OpenStreetMap and 3D city models) are becoming increasingly available worldwide. However, the thematic (attribute) aspect is not always given attention, as many of such datasets are lacking in completeness of attributes. A prominent attribute of buildings is the year of construction, which is useful for some...
conference paper 2017
document
Baltussen, Elisabeth J.M. (author), Snaebjornsson, Petur (author), De Koning, Susan G.Brouwer (author), Sterenborg, Henricus J.C.M. (author), Aalbers, Arend G.J. (author), Kok, Niels (author), Beets, Geerard L. (author), Hendriks, B.H.W. (author), Kuhlmann, Koert F.D. (author), Ruers, Theo J.M. (author)
Colorectal surgery is the standard treatment for patients with colorectal cancer. To overcome two of the main challenges, the circumferential resection margin and postoperative complications, real-time tissue assessment could be of great benefit during surgery. In this ex vivo study, diffuse reflectance spectroscopy (DRS) was used to...
journal article 2017
document
Delipetrev, B. (author)
Reservoir operation is a multi-objective optimization problem traditionally solved with dynamic programming (DP) and stochastic dynamic programming (SDP) algorithms. The thesis presents novel algorithms for optimal reservoir operation named nested DP (nDP), nested SDP (nSDP), nested reinforcement learning (nRL) and their multi-objective (MO)...
doctoral thesis 2016
document
Sun, J. (author), Ellerbroek, J. (author), Hoekstra, J.M. (author)
With the increasing availability of ADS-B transponders on commercial aircraft, as well as the rapidly growing deployment of ground stations that provide public access to their data, accessing open aircraft flight data is becoming easier for researchers. Given the large number of operational aircraft, significant amounts of flight data can be...
conference paper 2016
document
Hammerschmidt, C.A. (author), Marchal, Samuel (author), State, Radu (author), Pellegrino, G. (author), Verwer, S.E. (author)
The task of network traffic monitoring has evolved drastically with the ever-increasing amount of data flowing in large scale networks. The automated analysis of this tremendous source of information often comes with using simpler models on aggregated data (e.g. IP flow records) due to time and space constraints. A step towards utilizing IP flow...
conference paper 2016
document
Baarslag, T. (author), Hendrikx, M.J.C. (author), Hindriks, K.V. (author), Jonker, C.M. (author)
A negotiation between agents is typically an incomplete information game, where the agents initially do not know their opponent’s preferences or strategy. This poses a challenge, as efficient and effective negotiation requires the bidding agent to take the other’s wishes and future behavior into account when deciding on a proposal. Therefore, in...
journal article 2015
document
Cheplygina, V. (author)
Multiple instance learning (MIL) is an extension of supervised learning where the objects are represented by sets (bags) of feature vectors (instances) rather than individual feature vectors. For example, an image can be represented by a bag of instances, where each instance is a patch in that image. Only bag labels are given, however, the...
doctoral thesis 2015
document
Van den Berg, B.A. (author)
The development of high-throughput measurement techniques resulted in rapidlyincreasing amounts of biological data, which made computational methodsessential for biological research. Hence, the field of bioinformatics emergedthat since plays an important role in storing, making accessible, integrating,and analysing different types of biological...
doctoral thesis 2015
Searched for:
(1 - 20 of 34)

Pages