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 6 of 6 for “"Intention prediction"”.
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Intention prediction of pedestrians in challenging weather conditions using deep learning
… we introduce a framework for predicting the intention of pedestrians in clear and challenging weather conditions. The framework consists of five deep-learning models, of which two are designed and trained from scratch and three were used pretrained. The framework takes video frames from the …
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A Comprehensive Solution to Predict Short-term and Long-term user Intention with Environmental Context
Prediction of user intention is an important task in business intelligence and analysis. Our research divides user intention into short-term and long-term, corresponding to the first purchase and repurchase scenarios respectively. To model short-term user consumption intention prediction, we …
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The Theory of Planned Behaviour and the Entrepreneurial Event Model as predictive models of entrepreneurial intention
… were used as models to predict entrepreneurial intention amongst final year students. The sufficiency of this paradigm was compared with the aim of determining which model predicts entrepreneurial intention the most within a South African context. A sample of 186 students was used to determine …
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thesis in the field of Mechanical Engineering: Relevance for Human-Robot Collaboration: Definitions, Systems, Algorithms, and Applications
… achieving high human objective and relevance prediction accuracy. An advanced human intention prediction framework using head orientation, object affordance, and hand movement also enhances precision, accuracy, and F1 scores over baseline models. Results demonstrate that relevance …
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Human-Building Symbiotic Communication with Voice-based Proactive Smart Home Assistants
… impact of occupants' personal features on their intention in taking energy-saving behaviors. A comprehensive data collection was conducted through online surveys, in which 307 valid responses with participant's personal profile information, their perceptions of smart home assistants, and their …
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Prediction of user action in moving-target selection tasks
… reactiveness and the target’s movement. Action prediction has proven to be the most comprehensive enhancement to address moving-target selection challenges. Current predictive techniques, however, heavily rely on continuous tracking of user actions, without considering the possibility that …