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301
Design of generator power control system for real time application
Published 2014“…The development of the current and speed controllers using PI tuning were done in order to control the quadrature current while fixing the direct current as zero. In addition, space vector modulation was performed to obtain the time duration of each IGBT/diode leg in order to control the voltage output.…”
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Final Year Project (FYP) -
302
Power load demand forecasting
Published 2016“…The techniques are: neural network, random forest, support vector regression, autoregressive integrated moving average, empirical mode decomposition, ensemble empirical mode decomposition and lastly complete ensemble empirical mode decomposition with adaptive noise. …”
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Final Year Project (FYP) -
303
Automated spike detection using cascade of simple classifiers
Published 2016“…We utilize EEG recordings from 9 patients with epilepsy as training data to train various support vector machines (SVMs), and to build the cascades based on this SVMs. …”
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Thesis -
304
Video Google: efficient visual search of videos
Published 2007“…This requires a visual analogy of a word which is provided here by vector quantizing the region descriptors. The final ranking also depends on the spatial layout of the regions. …”
Book section -
305
Efficient retrieval of deformable shape classes using local self-similarities
Published 2010“…In order to use the self-similarity descriptor for efficient retrieval we make three contributions: (i) we sparsify the descriptor points by locating discriminative regions within each image, thus reducing the computational expense of shape matching; (ii) we extend to enable matching despite changes in scale; and (iii) we show that vector quantizing the descriptor does not inhibit performance, thus providing the basis of a large-scale shape-based retrieval system using a bag-of-visual-words approach. …”
Conference item -
306
Stable transformation of pleomorphic bloodstream form Trypanosoma brucei
Published 2013“…African trypanosomes differentiate between various developmental stages both in mammalian hosts and their tsetse vector to adapt to and survive in the different environments they encounter. …”
Journal article -
307
Efficient visual content retrieval and mining in videos
Published 2004“…This representation enables recognition to proceed successfully despite changes in scale, viewpoint, illumination and partial occlusion. Vector quantization of these descriptors then enables efficient matching on the scale of an entire feature film.…”
Conference item -
308
Pose search: retrieving people using their pose
Published 2009“…The method involves first localizing the spatial layout of the head, torso and limbs in individual frames using pictorial structures, and associating these through a shot by tracking. A feature vector describing the pose is then constructed from the pictorial structure. …”
Conference item -
309
Smooth object retrieval using a bag of boundaries
Published 2012“…Furthermore, we show that the descriptors may be vector quantized (into a bag-of-boundaries) giving a representation that is suited to the standard visual word architectures for immediate retrieval of specific objects. …”
Conference item -
310
High-resolution synthetic population mapping for quantifying disparities in disaster impacts: an application in the Bangladesh Coastal Zone
Published 2022“…Here, we generate synthetic structural and socioeconomic microdata for around 9.5 million persons for six districts in Bangladesh as vector points using a combination of spatial microsimulation techniques and dasymetric modelling. …”
Journal article -
311
Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents
Published 2021“…The tools incorporate data veracity framework for online news with Support Vector Machine and proposed combination of features. …”
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Article -
312
Salient keypoint detectors and compact feature descriptors for 3D perception
Published 2017“…Hence, we introduce the first binary 3D descriptor, B-SHOT, by proposing an adaptive binarization technique that converts a real valued vector to a binary vector. We apply this method on a state-of-the-art 3D feature descriptor, SHOT, and create a new binary 3D descriptor. …”
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Thesis -
313
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314
Persistent elevation of intrathecal pro-inflammatory cytokines leads to multiple sclerosis-like cortical demyelination and neurodegeneration
Published 2021“…PhosphoRIP3+ and phosphoMLKL+ neurons were present in TNF + IFNγ vector injected animals, indicating activation of necroptosis. …”
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Journal Article -
315
Essays on the dynamics of the U.S. real exchange rate
Published 2014“…In Chapter 4, structural vector error-correction model (SVECM) is used to identify the sources of the U.S. real effective exchange rate fluctuations during the great moderation. …”
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Thesis -
316
RNA interference silencing of interleukin-6 in mesenchymal stromal cells and antitumour efficacy against multiple myeloma cells
Published 2015“…IL-6 silencing in MSC was induced using two different pathways: (1) direct administration of synthetic IL-6 siRNA using lipofectamine 2000 transfection and (2) vector-based adenovirus vector encoding IL-6 shRNA. …”
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Thesis -
317
Derivative-constrained frequency-domain wideband DOA estimation
Published 2013“…The Taylor series expansion of steering vector with respect to frequency exhibits the dependence of sensor snapshots on the derivatives of the array manifold matrix, suppression of which reduces the data to follow the narrowband data model. …”
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Journal Article -
318
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction
Published 2013“…To obtain great discriminative power between classes, all the data points in each class are expected to be regressed to a single vector, and the basic task is to find a transformation matrix such that the squared regression error is minimized. …”
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Journal Article -
319
Machine learning for anomaly detection on intelligent transportation time series data
Published 2022“…Afterwards, one One-Class Support Vector Machines (OCSVM) is applied to do the classification. …”
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Thesis-Master by Coursework -
320
PCA based feature extraction for cell image retrieval
Published 2009“…This is done by using the feature vector and Eigen images which are derived using PCA.…”
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Thesis