Development of IoT based hybrid autonomous network robots (ANR) by Chukwuemeka, Chimsom Isidore

“…In case one of the SSNs issued an alert, the zone MRSN relays the event to the IoT BS and starts to generate and navigate its path to the alerting SSN using the A* algorithm. If the zone MRSN is outside a reference distance to the alerting SSN location, it coordinates with the G-MRSN using contract net protocol (CNP) algorithm to assign the closer G-MRSN, generate the path to the alerting SSN and navigate it. …”
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Determination of a robust metabolic barcoding model for chemotaxonomy in Aizoaceae species : expanding morphological and genetic understanding by Hilgart, Amelia

“…Once isolated, this subset of informative data was established as metabolic barcodes for the identification of the study species. A machine learning algorithm, Random Forest, was used to build a classification model based on the metabolic barcodes which was then trained on various trends from the factors monitored over the year. …”
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Deep learning for supernovae detection by Amar, Gilad

“…This thesis explores the potential of using state-of-the-art machine learning algorithms to handle this burden more accurately and quickly than trained astronomers. …”
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Model Calibration with Machine Learning by Haussamer, Nicolai Haussamer

“…It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. …”
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Impeller fault detection under fluctuating flow conditions using artificial neural networks

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Automated remote industrial inspection platform using spot by Roux, Dominic

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Assessment of the synoptic variability of the Antarctic marginal ice zone with in Situ observations by de Jong, Ehlke

“…This resulted in the development of an algorithm to automatically acquire SIC from image stills and videos. …”
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Dataset shift in land-use classification for optical remote sensing

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Efficient End-to-end Autonomous Driving by Eraqi, Hesham

“…Steering a car through traffic is a complex task that is difficult to cast into algorithms. Therefore, researchers turn to train artificial neural networks from front-facing camera data stream along with the associated steering angles. …”
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Artificial neural networks modelling for mass appraisal of properties

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A feasibility study of elementary reinforcement learning-based process control by Bras, Edward Hendrik

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An investigation of amygdala and hippocampal subregions and their relation to ageing in anxiety and related disorders by Ntwatwa, Ziphozihle

“…Subfield volumes were segmented using an automated segmentation algorithm from Freesurfer (v6.0). The brain age analysis was performed by using a previously trained machine learning algorithm that provides brain age estimates for the whole brain, as well as for regions of interest (occipital, frontal, temporal, parietal, cingulate, insula, or cerebellar–subcortical features) (Kaufmann et al., 2019). …”
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The development of a novel method to identify and describe driving events using only MEMS-sensors in an unmounted smartphone. by Bruwer, Frikkie

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A clustering approach towards the identification of suitable waiting areas for drivers of transportation network companies by Rolo, Monica Celestina

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Characterisation of small, close-approaching near-earth asteroids by Janse van Rensburg, Petronella

“…The taxonomic probabilities were determined with the colours g0−r 0 and r0−i 0 , in combination with a machine learning (ML) algorithm trained on synthetic colours from observed spectra obtained from literature. …”
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Countermeasure Allocation and Load-Out Optimisation

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Household water end-use identification in the presence of rudimentary data by Meyer, Bettina Elizabeth

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