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 5 of 5 for “"Regression And Classification Models"”.
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Application of machine learning methods for design of crystallisation processes
… the utilisation of material, minimising wastage and assuring the desired quality attributes are achieved. This thesis illustrates the application of ML techniques in aspects of crystallisation process design assessing the ability to predict crystallisation outcomes, including crystal habit and …
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A system approach to implementation of predictive maintenance with machine learning
… how to make rational use of some technologies and create considerable value in a variety of industrial scenarios is an issue. Many digital industrial companies have stated that they have helped clients with their digital transformation, create much value, but the real effects have not been …
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Selective prioritisation of real-time IP packets to improve quality of service in 5G wireless sensor networks
The successful deployment of 5G and future-generation networks depends critically on the provision of Ultra-Reliable Low-Latency Communication (URLLC), which is vital to meeting the stringent requirements of emerging real-time applications. However, the static, rule-based scheduling algorithms …
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Fast algorithms for Bayesian variable selection
Variable selection of regression and classification models is an important but challenging problem. There are generally two approaches, one based on penalized likelihood, and the other based on Bayesian framework. We focus on the Bayesian framework in which a hierarchical prior is imposed on all …
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Computational corn hybrid selection integrating phenotypic, environmental, and genomic information
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms