Searched for: subject%3A%22k%255C-means%22
(1 - 20 of 26)

Pages

document
van Engelen, Bart (author)
Currently, inland waterway safety assessments rely heavily on historic accident data and expert opinions, often lacking comprehensive qualitative and quantitative information. Addressing this gap, this thesis introduces a method based on Automatic Identification System (AIS) data to identify anomalous vessel behaviour for enhancing safety...
master thesis 2023
document
Groenendijk, Jurre (author)
With the current state-of-the-art research, exporting a NeRF to a mesh has the side effect of having to evaluate a Multi Layer Perceptron at render-time, causing a significant decrease in performance. We have found a way to use K-Means clustering to pre-compute values for this MLP, storing them in multiple octahedron maps for the GPU to fetch...
bachelor thesis 2023
document
Vandenplas, Jeremie (author), Nguyen, B. (author), Vuik, Cornelis (author)
In this paper, we consider a block Jacobi preconditioner and various deflation techniques applied in the Deflated Preconditioned Conjugate Gradient (DPCG) method for solving a sparse system of linear equations derived from a statistical linear mixed model that analyses simultaneously phenotypic and pedigree information of genotyped and...
journal article 2023
document
Bani Mohammad Ali, Amir (author), Valizadeh Sotubadi, Saleh (author), Alimirzaei, Sajad (author), Ahmadi Najafabadi, Mehdi (author), Pahlavan, Lotfollah (author)
Composite structures in transportation industries have gained significant attention due to their unique characteristics, including high energy absorption. Non-destructive testing methods coupled with machine learning techniques offer valuable insights into failure mechanisms by analyzing basic parameters. In this study, damage monitoring...
journal article 2023
document
Loog, M. (author), Krijthe, J.H. (author), Bicego, Manuele (author)
Arguably, a desirable feature of a learner is that its performance gets better with an increasing amount of training data, at least in expectation. This issue has received renewed attention in recent years and some curious and surprising findings have been reported on. In essence, these results show that more data does actually not...
journal article 2023
document
Marino, Enzo (author), Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)
We extend EUCLID, a computational strategy for automated material model discovery and identification, to linear viscoelasticity. For this case, we perform a priori model selection by adopting a generalized Maxwell model expressed by a Prony series, and deploy EUCLID for identification. The methodology is based on four ingredients: i. full...
journal article 2023
document
Siderius, Joost (author)
This study researched the optimal network of hydrogen refueling stations. The network is designed on a European scale and with a focus on heavy duty trucks. The design is created by means of a two-step optimization. The first step clusters truck representing datapoints into a predetermined number of stations by means of k-means clustering. The...
master thesis 2022
document
Gorsse, Daan (author)
Cash and Voucher Assistance (CVA), a type of humanitarian aid consisting of giving money instead of products, is being used more frequently because of its effectiveness and efficiency in helping people in need (Cash Learning Partnership, 2020b). The debate on using CVA is currently focusing on improving the quality by better incorporating ...
master thesis 2022
document
Nguyen, Buu-Van (author)
The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) model can potentially be used in animal breeding for genetic evaluations. It has been reported that this model has convergence issues when the Preconditioned Conjugate Gradient (PCG) method is applied. This is due to the linear system being ill-conditioned...
master thesis 2021
document
Zoumis, Angelos (author)
Cluster editing attempts to find the minimum number of edge additions and removals on an undirected graph, that will transform the graph to one consisting of only disconnected cliques. In this paper, we propose three heuristic approaches to this problem, based on algorithms used to solve different clustering problems. The algorithms were based...
bachelor thesis 2021
document
Fiddes, Sonya (author), Pepler, Acacia (author), Saunders, K.R. (author), Hope, Pandora (author)
Climate scientists routinely rely on averaging over time or space to simplify complex information and to concisely communicate findings. Currently, no consistent definitions of 'warm' or 'cool' seasons for southern Australia exist, making comparisons across studies difficult. Similarly, numerous climate studies in Australia use either...
journal article 2021
document
Athanasiou, Panagiotis (author), Van Dongeren, Ap (author), Giardino, Alessio (author), Vousdoukas, Michalis (author), Antolínez, José A. Á. (author), Ranasinghe, Roshanka (author)
Dune erosion driven by extreme marine storms can damage local infrastructure or ecosystems and affect the long-term flood safety of the hinterland. These storms typically affect long stretches (∼100 km) of sandy coastlines with variable topo-bathymetries. The large spatial scale makes it computationally challenging for process-based...
journal article 2021
document
Man, K.W. (author)
As software is produced more and more every year, software also gets exploited more. This exploitation can lead to huge monetary losses and other damages to companies and users. The exploitation can be reduced by automatically detecting the software vulnerabilities that leads to exploitation. Unfortunately, the state-of-the-art methods for this...
master thesis 2020
document
van Burg, J.M. (author)
This paper is a research on the segmentation of customers. The clustering of customers is done based on the variables recency, frequency and monetary value. Such a clustering is called an RFM-model. The clustering is done using the K-means clustering method. To find the optimal number of clusters the following performance metrics are used: Elbow...
bachelor thesis 2020
document
Wagenaar, Claire (author)
In this thesis, several image segmentation techniques will be tested that eventually will be applied to MRI brain scans in order to detect hydrocephalus. The meth- ods include Sobel edge detection, Canny edge detection, active contour model (also known as snakes), k-means clustering and region growing. Furthermore two exten- sions are discussed....
bachelor thesis 2020
document
Morette, N. (author), Castro Heredia, L.C. (author), Ditchi, Thierry (author), Mor, A. R. (author), Oussar, Y. (author)
This paper tackles the problem of the classification of partial discharge (PD) and noise signals by applying unsupervised and semi-supervised learning methods. The first step in the proposed methodology is to prepare a set of classification features from the statistical moments of the distribution of the Wavelet detail coefficients extracted...
journal article 2020
document
Wei, Mengya (author)
Root zone storage capacity Sr is a significant variable for hydrology and climate studies, as it strongly influences the hydrological behaviour of a catchment. A climate-derived method (water-balance between precipitation and transpiration) was applied for estimating Sr values for 113 catchments in Australia. Various climate, hydrological and...
master thesis 2020
document
Desta, F.S. (author), Buxton, M.W.N. (author)
Sensor technologies provide relevant information on the key geological attributes in mining. The integration of data from multiple sources is advantageous in making use of the synergy among the outputs for the enhanced characterisation of materials. Sensors produce various types of data. Thus, the fusion of these data requires innovative data...
journal article 2020
document
Scott, Fred (author), Antolinez, Jose A.A. (author), McCall, Robert (author), Storlazzi, Curt (author), Reniers, A.J.H.M. (author), Pearson, S.G. (author)
Many coral reef-lined coasts are low-lying with elevations <4 m above mean sea level. Climate-change-driven sea-level rise, coral reef degradation, and changes in storm wave climate will lead to greater occurrence and impacts of wave-driven flooding. This poses a significant threat to their coastal communities. While greatly at risk, the...
journal article 2020
document
Jiang, Junfeng (author), Chen, Qiushi (author), Xue, J. (author), Wang, Haobo (author), Chen, Zhijun (author)
The representation and discrimination of various traffic states play an essential role in solving traffic accidents and congestion as the foundation of traffic state prediction. However, the existing representation of the traffic state usually only considers the road congestion layer and divides the traffic state into congested and unblocked....
journal article 2020
Searched for: subject%3A%22k%255C-means%22
(1 - 20 of 26)

Pages