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 “"model predictor"”.
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Baccalaureate Reentry Students: Effects of Professional Support on Role Conflict and Role Transition
… baccalaureate nursing degree. A path analytic model was developed to examine the interrelationships of multiple roles and focal role commitments, previous education, work experience, and role conflicts perceived by reentry adult students, and the influence of professional support in the …
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Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems
… muscle stimulation control, we first implement a model-based control technique assuming that all the states are measurable. The Hill-type muscle model coupled with a simplified 2DoF model of the arm is used to study the performance of our proposed adaptive sliding mode controller for simulation …
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Evaluation of the PLCOM2012 Risk Prediction Model and National Lung Screening Trial Criteria for Selecting Individuals for Lung Cancer Screening
… has been a growing interest in risk prediction modelling for selecting high-risk individuals for LC screening. Increased risk for developing LC is however associated with greater risk of dying from non-LC (competing) causes; the presence of coexisting illnesses may negate the net benefit of LC …
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CHARACTERIZATION OF SENSOR AND NON-SENSOR COW, HERD MANAGEMENT, AND ENVIRONMENTAL DATA AND USE OF MACHINE LEARNING ALGORITHMS FOR PREDICTION OF PREGNANCY IN DAIRY CATTLE
… cows warrants use of parity either as a model predictor, or the development of parityspecific models for predicting FS outcome of lactating dairy cows. Chapter II of this thesis presents the development and performance of multiple MLA for predicting FS outcome using data presented in …
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New Opportunities in Crowd-Sourced Monitoring and Non-government Data Mining for Developing Urban Air Quality Models in the US
… monitoring, low-cost sensor platform) and model predictor variables (e.g., non-government open data) based on emerging modeling approaches (e.g., machine learning [ML]) could be used to improve air quality models (i.e., land use regression [LUR]) at local, regional, and national levels for …
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Hierarchical Linear Modeling versus visual analysis of single subject design data
… have proposed the use of Hierarchical Linear Modeling to analyze single-subject data because it can withstand violations of assumptions often present in single-subject data that other statistics cannot. In addition, HLM is similar to the actual data structure of single-subject designs as it …