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 7 of 7 for “"task prediction"”.
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Decoding brains by paying attention: An attention-based fMRI task state decoding deep network architecture
… the field of cognitive neuroscience is to decode task state fMRI data. Task decoding is the process of taking neuroimaging data and determining the task that was performed when that data was collected. A large volume of work used for task decoding is done in pursuit of creating a deep learning …
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An Examination of Decision Aid Reliance in a Dynamic Environment
… experiment involving a managerial accounting task: prediction of manufacturing overhead costs. In the experimental scenario, a decision support system's recommended solutions become inaccurate due to a shift in environmental conditions. The first research objective is to determine whether …
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Attention-Deficit Hyperactivity Disorder, Positive Illusory Bias, and the Dual-Factor Model of Mental Health
… discrepancy. Discrepancy analysis and pre-task prediction/post-task performance were the two most common methodology used in measuring positive illusory bias. The quantitative study found that subjective well-being and ADHD symptomatology were negatively correlated, positive illusory bias …
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Robust time-varying functional connectivity estimation and its relevance for depression
… include simulations, subject phenotype prediction, test-retest studies, brain state analyses, external task prediction, and a range of qualitative method comparisons. Furthermore, I introduce a benchmark based on cross-validation, that can be run on any data set. The WP model is found to …
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Application of deep learning for predicting schedules in real-time systems
… are often used in safety critical systems: a task missing a deadline can be catastrophic for the system and endanger human lives. To guarantee that it meets every deadline, hard real-time systems are designed to have deterministic behavior. However, such determinism is prone to timing …
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Workforce fatigue prediction via wearable sensor data analytics
… ergonomic risk factors, such as repetitive tasks, heavy lifting, and awkward postures, contribute to localised muscle fatigue, which over time can cause chronic injury according to fatigue failure theory. Although observational risk assessments are widely used and influential in setting …