Search Results - Finale (Neighbours)
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Durian species recognition based on Fast Discrete Curvelet Transform and K-Nearest Neighbour
Published 2019“…Inverse 2D FFT is computed on the normalised Fourier samples to obtain the final Fast Discrete Curvelet Transform features. …”
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Improveing Agent-based modelling by using machine learning
Published 2022“…Firstly, a traditional ABM is developed using Counter-Strike: Global Offensive as the subject of study, followed by data mining using linear regression and k-mean clustering to develop an ML-based ABM. Finally, k nearest neighbours is used to measure the accuracy of the traditional ABM and the ML-based ABM. …”
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Statistical properties of a randomly excited granular fluid
Published 2010“…For high dissipation we find that the distribution of nearest neighbour distances are approximately renormalisable and devise a geometrical method that accounts for some of the structural features seen in these systems. …”
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Tracking the activity of supermassive black holes and the habitats of their hosts
Published 2020“…From these results we infer that AGN luminosity is likely not driven by environmental triggering, and conclude that AGN may be a stochastic phenomenon without a strong dependence on large-scale environment. Finally, our third study presents a preliminary analysis of the properties of galaxy neighbours within 500 kpc of X-ray selected AGN between z ∼ 2.5 and z ∼ 0.5 in the UDS and COSMOS fields. …”
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The topography of the city of Barcelona and its urban context in eastern Catalonia: from the third to the twelfth centuries
Published 1981“…Among the Roman foundations in modern Catalonia was the colonia of Barcino, which, unlike several of its neighbours, had no local native predecessor. The growth of these cities was slow, and an air of mediocrity shrouds them all, save Tarraco. …”
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Shape descriptors and statistical classification on areal topography data for tile inspection in tessellated surfaces
Published 2017“…Principal component analysis and cluster analysis are used to investigate the behaviour of the angular radial transform coefficients. Finally, an algorithmic classifier based on supervised learning (k-nearest neighbours) is implemented and shown to be effective at identifying defects and at discriminating between defect types.…”
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Predictive Modelling for Student Grades in FYP
Published 2021“…The project proposed using classification which is part of the data mining process to predict the students’ Final Year Project Grades. The proposed prediction model are K-Nearest Neighbours, CART, C4.5, Naïve Bayes, Support Vector Machine and Neural Network. …”
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A lazy learning-based QSAR classification study for screening potential histone deacetylase 8 (HDAC8) inhibitors
Published 2015“…In an effort to facilitate the discovery of HDAC8 inhibitors, two quantitative structure–activity relationship (QSAR) classification models were developed using K nearest neighbours (KNN) and neighbourhood classifier (NEC). …”
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Prototypic implementation and comparison of fraud detection algorithms based on methods of statistical analysis
Published 2015“…The performances of the machine learning algorithms finally were evaluated using the sampled data. Most algorithms got a boost in performance when trained on the balanced data with Random Forest performing best, followed by Deep Learning. …”
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First evidence of Archean mafic dykes at 2.62 Ga in the Yilgarn Craton, Western Australia: Links to cratonisation and the Zimbabwe Craton
Published 2018“…Mafic magmatism at 2615 Ma was possibly related to delamination of the lower crust during the final stages of assembly and cratonisation, and was coeval with the formation of late-stage gold deposit at Boddington. …”
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Black holes and galaxy environment in cosmological simulations
Published 2013“…Observationally galaxy environment is most commonly measured through nearest neighbours or fixed apertures, and these have different relationships to the underlying dark matter haloes. …”
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The relationships between message passing, pairwise, Kermack–McKendrick and stochastic SIR epidemic models
Published 2017“…We consider a very general stochastic model for an SIR epidemic on a network which allows an individual’s infectious period, and the time it takes to contact each of its neighbours after becoming infected, to be correlated. …”
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The people we know: Social network diversity among urban Malaysians
Published 2015“…Findings show that urban Malaysians function within social networks that are racially, culturally and socio-economically heterogeneous, interacting with all major groups in Malaysian society, including neighbours. For the vast majority, however, the observed degree of network diversity is medium to low. …”
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Gibberellin biosynthesis and signalling in Arabidopsis root growth
Published 2011“…However, GUS studies have shown the final and penultimate GA-biosynthetic genes are not expressed in the endodermis, indicating movement of GAs may be required. …”
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Development of outdoor neighbourhood framework incorporating Islamic values for social community interaction
Published 2019“…Qualitative research method is applied and the research involves several processes in proposing the final framework which includes; expert semi-structure interview to validate and refine the components from the preliminary framework; and Case study in Putrajaya which includes interview with Community Representatives and Field Observation to refine the final proposed framework. …”
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