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Predictive Maintenance in Rail Transportation: An Explainable Machine Learning Approach
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Radar-Based Multi-Target Classification Using Deep Learning
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Multilingual acoustic word embeddings for zero-resource languages
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Wearable device localisation and its effect on activity recognition using machine learning
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APIC: A method for automated pattern identification and classification
Published 2018“…In chapter 4, the proposed method demonstrated improved efficacy over comparable systems, automatically identifying and classifying complex application protocols traversing IP networks. …”
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Dynamic Hand Gesture Recognition Using Ultrasonic Sonar Sensors and Deep Learning
Published 2022“…The goal of this study was to build and design a Sonar system that can classify hand gestures using a machine learning approach. …”
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A machine learning approach to detect insider threats in emails caused by human behaviour
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Using machine learning techniques in developing an autonomous network orchestration scheme in 5g networks
Published 2021“…The goal of this study is to identifying web-tasks by capturing the network data packets flowing in and out of the system and perform an application-based classification by using machine learning techniques. …”
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A meta-learning framework for link prediction algorithm selection based on network structure analysis
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Evaluating deep learning for enhanced breast cancer diagnosis: a comparative analysis of CNN architectures
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Few-shot Learning for Joint Classification of Instrument, Pitch, and Playing Technique of Tones Produced by Bowed String Instruments
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Land rights in sub-Saharan Africa : measuring impact with satellite images, machine learning and citizen science
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The quality assurance of teaching and learning in higher education in South Africa : an analysis of national policy development and stakeholder response
Published 2006“…The context of this study is the introduction of a new national quality assurance system for South African higher education by an agency of the Department of Education. …”
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Detecting fraud in cellular telephone networks
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Automated remote industrial inspection platform using spot
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Exploring the class imbalance problem in text classification
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Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks
Published 2025“…In this thesis, a comprehensive Machine Learning (ML) and Deep Learning (DL) framework was introduced for ESPs that simultaneously estimates remaining useful life (RUL) while predicting and classifying failure types. …”
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