Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Machine Learning Application"”.
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Machine Learning Application in Energy Storage System’s State Estimation: State of Health (SOH)
… specifically for the electric vehicle (EV) applications. Since the estimation of battery state of health (SOH) is critical for the safety and the decision making such as warranty analysis, the battery SOH should be estimated accurately. In this work, we have employed measurable data such as …
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Unsupervised Machine Learning Application for the Identification of Kimberlite Ore Facie using Convolutional Neural Networks and Deep Embedded Clustering
Mining is a key economic contributor to many regions globally - especially those in developing nations. The design and operation of the processing plants associated with each of these mines is highly dependant on the composition of the feed material. The aim of this research is to demonstrate the …
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Towards understanding and simplifying human-in-the-loop machine learning
"Machine learning application developers and data scientists spend inordinate amount of time iterating on machine learning (ML) workflows, by modifying the data pre-processing, model training, and post-processing steps, via trial-and-error to achieve the desired model performance. As a result, …
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Crystallisation thermodynamics and random forest classification for the prediction of crystallisation outcomes
… This thesis investigated the potential of machine learning techniques in terms of the prediction of crystallisation outcomes, focusing on the shapes of mefenamic acid (MFA) crystals from various organic solvents, and solvated structures of small organic molecules considered by Powder X-ray …
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Efficient Robustness and Interpretability in Learning and Data-Driven Decision-Making
As machine learning algorithms are increasingly developed and deployed in high-stakes applications, ensuring their reliability has become crucial. This thesis introduces algorithmic advancements toward reliability in machine learning, emphasizing two critical dimensions: Robustness and …
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Algorithmic advances in learning from large dimensional matrices and scientific data
… is devoted to answering a range of questions in machine learning and data analysis related to large dimensional matrices and scientific data. Two key research objectives connect the different parts of the thesis: (a) development of fast, efficient, and scalable algorithms for machine learning …
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Advancing the Development and Utilization of Data Infrastructure for Smart Homes
… indoor-environment sensing data, (2) create a machine learning-based approach to demonstrate a novel way of analyzing indoor-environment data to facilitate human-centered building design, and (3) conduct an empirical study to explore the challenges and opportunities in existing smart home …
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Studies of the Electron Neutrino Charged-current Interaction on $^{127}$I
<p>An inclusive measurement of the cross section of the electron neutrino charged-current interaction on $^{127}$I can probe the quenching of g$_{A}$, the axial-vector coupling constant, which affects the rate of neutrinoless double beta decays, and contribute to the design of next-generation solar …
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Essays in Applied Economics Linking Policy, Obesity, and Health Economics
… Food Insecurity Coping Strategies in Malawi: A Machine Learning Application with Panel Data Famines and food shortages are becoming more common in Malawi, where smallholder farmers make up more than 80% of the population. Malawi is currently experiencing a high level of food insecurity for a …
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Fostering the effectiveness of reportable arrangements provisions by enhancing digitalisation at the South African Revenue Service
… intelligence, blockchain technology and Application Programme Interfaces. The study proposed, amongst others, that these could be adopted by SARS to be able to gather information from various sources in real time to identify further characteristics of aggressive tax planning, perform …