Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods by Razzak, Muhammed T

“…We first develop an interactive segmentation algorithm. Interactive segmentation aims to segment objects with a supervisory signal from a user to assist the model. …”
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Classification of ocean vessels from low resolution satellite SAR images

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Bird song recognition with hidden Markov models by Van der Merwe, Hugo Jacobus

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Impact assessment of large-scale penetration of permanent magnet synchronous generators on power quality by Ntsadu, Ntlahla

“…PMSGs are attractive due to the absence of a gearbox in the drive-train, which results in lower maintenance costs and higher reliability. …”
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Object detection for signal separation with different time-frequency representations

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An on-board track monitoring system for modern railway vehicles by Du Toit, Daniel

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Solving sparse-reward problems in partially observable 3D environments using distributed reinforcement learning by Louw, Jacobus Martin

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Machine Learning techniques to discover and understand the population of flare stars in MeerLICHT data by Bangiso, Aphiwe

“…As additional work, we attempt to find sub-classes within the M-type class in MeerLiCHT data using k-means and hierarchical clustering algorithms. We find two distinct sub-classes in this data. …”
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The application of neural differential equations to enzymatic time-series by Heusdens, Danica Aimee

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Rail surface anomaly detection : a deep learning approach for computer vision

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A real-time hybrid method based on blade tip timing for diagnostics and prognostics of cracks in turbomachine rotor blades

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Predictive maintenance using clustering methods for the use-case of bolted connections in the automotive industry by Bekker, Emmarentia Lydia

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Fusion of phoneme recognisers for South African English by Strydom, George Wessel

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EMG-based eye gestures recognition for hands free interfacing by Zahran, Ahmed

“…Additionally, we are using the thresholding algorithm to extract the features from all the gestures. …”
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Money Laundering Alert Prioritisation Using Machine Learning and Benford’s Law by Spies, Luka

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Investigating automated bird detection from webcams using machine learning by Mirugwe, Alex

“…Through the use of transfer learning, all the models were initialized using weights pre-trained on the MS COCO (Microsoft Common Objects in Context) dataset provided by the TensorFlow 2 object detection API. …”
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Development of a Low-Cost System for Monitoring Root Growth Dynamics by De Raay, Yasmin

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Predictive Maintenance in Rail Transportation: An Explainable Machine Learning Approach by Mabaso, Nelisa Zamantungwa Sphumelele

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A review of three machine learning models using UAV derived photogrammetry for detecting and measuring tree stumps by Hubbard, Alan John

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