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 12 of 12 for “"Predictive System"”.
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Application of Canonical Predictive System to Problems in Education
Made available in DSpace on 2014-12-12T19:53:14Z (GMT). No. of bitstreams: 1 7524382.pdf: 4243137 bytes, checksum: 7e8ae898938811a612dd8265866c8327 (MD5) Previous issue date: 1975
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Software-based decision-support : a basis for the development of a predictive system for sustainable management of haemonchosis in small ruminants
… to develop, introduce, and validate the FAMACHA©system in South Africa and elsewhere in the world. Clinical haemonchosis was common during the summer rainfall season, and was found to increase in severity during January and February of each year. Sensitivity analysis of FAMACHA© data indicated …
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Harnessing the power of machine learning, Bayesian neural networks, and spatial analysis in modeling a predictive system, credit risk, and organizational performance across continents
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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Physically inspired methods and development of data-driven predictive systems.
Traditionally building of predictive models is perceived as a combination of both science and art. Although the designer of a predictive system effectively follows a prescribed procedure, his domain knowledge as well as expertise and intuition in the field of machine learning are often …
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Automatic and adaptive preprocessing for the development of predictive models.
… unknown values. There exists a multitude of predictive models for the most common tasks of classification and regression. However, researchers often assume that data is clean and far too little attention has been paid to data pre-processing. Despite the fact that there are a number of methods …
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Design and implementation of wavescope storage manager and access scheduler
… In doing this, I implemented an importation system that converts CENSAM data into a format specific to the processing system and cleans that data from measurement errors and irregularities; designed and implemented a highly efficient bulk-data processing system that is further optimized with …
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Deep Learning for Taxonomy Prediction
… Plinko is a fully-functioning, state-of-the-art predictive system that accurately captures DNA - Taxonomy relationships where other state-of-the-art algorithms falter. Plinko leverages multi-view convolutional neural networks and the pre-defined taxonomy tree structure to improve multi-level …
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Understanding and Predicting Sit-Stand Desk Usage Patterns and Willingness among Knowledge Workers: A Data-Driven Approach
… usage. In Phase 2, we developed a time-series predictive system that integrates an XGBoost model with a cluster-based customization for forecasting workers' intention to stand as well as their actual work postures. This framework tailors predictions to the unique characteristics of different …
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Sistema de predicción de kilometraje y servicios automotrices
… or automotive workshops do not have ERP systems or systems that make predictions about the services they provide, generating a decrease in revenue due to loss of customers and lack or overstock of spare parts. Due to this problem, the research and development of a predictive system for …
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Application of multiple information sources to prediction of engine time on-wing
… procedures. A multiple information source system is developed using the Pratt & Whitney engine to combine predictive engineering simulations with socio-technical effects and environmental factors for an improved predictive system for engine time on-wing. The system establishes an airport …
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Graphene Inkjet Integrated Intelligent Sensors and Systems
… based on internet of things (IoT) networks. Both systems rely on the development of scalable mobile-embeddable devices. Conventional devices face challenges like high power consumption, severe baseline drifts, and cross-analyte interferences, compromising the detection accuracies. Recently, 2D …
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Multi-criteria optimisation for complex learning prediction systems.
… determining effective approaches to optimise the system performance using multiple objectives, 3) finding effective alternative approaches to include such criteria indirectly in the design stages when defining accurate measures is infeasible, and finally 4) analysing the possible interactions …