Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 130 for “"Nearest neighbour"”.
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The synthesis of nearest neighbour compliant quantum circuits
Quantum computers are reaching the size necessary to begin to perform useful tasks, however they are still limited by noise. One source of this noise is the error rate of the physical gates the processor uses. This means that when compiling high level quantum programs into executable code, it is …
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A multi-level nearest-neighbour algorithm for predicting protein secondary structure
… structure. We develop a variation of the nearest-neighbour algorithm that adopts a multi-level strategy together with a variable window size. The algorithm is applied to the problem of predicting the secondary structure of a protein given its primary structure: that is, given a sequence of …
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Modern k-Nearest Neighbour Methods in Entropy Estimation, Independence Testing and Classification
Nearest neighbour methods are a classical approach in nonparametric statistics. The k-nearest neighbour classifier can be traced back to the seminal work of Fix and Hodges (1951) and they also enjoy popularity in many other problems including density estimation and regression. In this thesis we …
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Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data
… exploration of the architecture, the weighted k-nearest neighbours algorithm used for the classification module is found to be prone to misclassification as it relies solely on the majority voting rule to determine the class for new data vector. Additionally, it does not consider the …
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Application of a K-Nearest Neighbour weather generator for simulation of historical and future climate variables in the Upper Thames River basin
… and future climate data using a nonparametric K-Nearest Neighbour block resampling weather generator with perturbation is presented (KnnCAD Version 4). The proposed approach is illustrated using a case study of the Upper Thames River basin in Ontario, Canada. KnnCAD V4 is shown to effectively …
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Investigation of Frustrated Quasi-One-Dimensional Quantum Spin-Chain Materials
… are magnetically frustrated with competing nearest-neighbour and next-nearest-neighbour intrachain spin-exchange interactions. Despite the similarities between CuAs2O4 and CuSb2O4, they exhibit very different magnetic properties. In this thesis work, the physical properties of CuAs2O4 and …
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A study on the effect of lateral interactions on methanation over Fe(100)
… of configurations were calculated to investigate nearest neighbour and next nearest neighbour interactions. An energetic break down of the lateral interactions is postulated using the components of the Hamiltonian. The charges associated with the different atoms in each configuration were …
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Simulation of graphene electronic devices
… and graphene nanoribbons is obtained using nearest-neighbour and third nearest-neighbour interactions within a tight binding model. A comparison of the current-voltage characteristics of MOS structures formed on graphene nanoribbons and carbon nanotubes suggests that the nanoribbon devices …
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Geometry and Light in Quantum Optical Systems
… consisting of two coupled layers: one with nearest-neighbour coupling and the other with nearest-neighbour and next nearest-neighbour coupling. We find localised states concentrated on the edge of a lattice in the finite sized model, with energies corresponding to the turning points in the …
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Microstructure and residual stress in hydrogenated amorphous silicon (a-Si:H) layers
… range order reveals a significant shift in the nearest neighbour distance of Si-Si pairs leading to bond strain in the layers. The PDF reveals that the short-range bonding of a Si:H is tetrahedral but it does not give much information about the intermediate region which relates to the structural …
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Artificial Neural Networks as a Probe of Many-Body Localization in Novel Topologies
… training it on the entanglement spectra of the nearest-neighbour Heisenberg spin1/2 chain in the presence of extremal (definitely ergodic/localizing) disorder values and show that this artificial neural network successfully qualitatively classifies the entanglement spectra at both extremal and …
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Meta-Feature Taxonomy for Supporting Automatic Machine Learning
… Landmark Meta-Feature generation when using the Nearest Neighbour, Elite Nearest Neighbour, Best Decision Node, and Random Decision Node Landmarks which indicates potential use as meta-features in AutoML.
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Chaos and Scrambling in Quantum Small Worlds
… that interpolate between completely ordered (nearest-neighbour, next-to-nearest-neighbour etc.) and completely random interactions. They are systems of quantum spin particles in which the network topology is given by the Watts-Strogatz model of network theory. As such, they furnish a novel …
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A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation
… errors are counted by comparing the 1-nearest-neighbour classification results to the known (manually specified) material classes. Other classification error statistics such as WNN (worst nearest neighbour) are also calculated. The symmetric Kullback-Leibler divergence, used as a …
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Seed predation and potential dispersal of Ceratocaryum argenteum (Restionaceae) nuts by the striped mouse (Rhabdomys pumilio) / Joseph Douglas Mandla White
… (p>0.05) from the observed distances between nearest neighbour C.argenteum plants before discarding them on the soil. Additionally, the maximum distance R. pumilio moved C. argenteum seeds was commensurate with the maximum distance between nearest neighbour C. argenteum stands, so the end fate …
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The characterisation and automatic classification of transmission line faults
… features are used to develop single nearest neighbour classifiers to identify the underlying cause of transmission line faults. A classification accuracy of 86% is achieved using a single nearest neighbour classifier. This classification performance is found to be superior to that of …
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An investigation on the potential interactions between colophospermum mopane and its neighbouring understory vegetation
… interaction of C. mopane and its understory and nearest neighbour vegetation; the study also considered the response of C. mopane to disturbance and also on the plant-animal interactions; the reproductive strategies of C. mopane also formed part of this current work. The competitive interactions …
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A search for superconductivity in conjugated polymers
… model which incorporates on-site and nearest-neighbour electron-electron Hubbard terms, Brazovskii-Kirova symmetry breaking, and Kondo impurities. We have found that through changing the conduction charge doping level real space-charge pairs, bipolarons, can be stabilised in the …
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Using CBR to improve the usability of numerical models
… over nominal values, termed Generalised Shepard Nearest Neighbour method (GSNN). GSNN can utilise distance metrics defined on the solution space of a CBR system. The properties and advantages of GSNN are examined in the thesis. A comparison is made with other CBR retrieval methods, using several …
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