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 8 of 8 for “"Sequential Modeling"”.
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Sequential modeling for mortality prediction in the ICU
… for high risk patients in a process termed sequential modeling. Starting with a base set of features derived from the APACHE IV score, this thesis details the engineering of more complex features tailored to the high risk prediction task and development of a logistic regression model trained …
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A Sequential Modeling Approach to Explain Complex Processes and Systems
… of aircraft engines is essential for modeling the degradation of engine performance over time. The acceptable margins for error grow smaller with each new generation of engines. This paper focuses on turbine gas temperature (TGT). The goal is to improve the first principles predictions …
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Grasp - A Graph-Based SLA Breach Prediction Framework at the Service Level in Neural Inference
… data, sequence processing, and graph-based modeling to proactively detect performance anomalies and predict SLA breaches in microservice-based systems within upcoming time windows. In our framework, raw data is transformed into graph representations and fed into deep learning models to …
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Personalized Treatment Response Prediction under Dynamic and Time-Varying Treatment Strategies for Sepsis Patients
… a patient. This thesis builds on G-Net, a deep sequential modeling framework for g-computation that has been evaluated on response prediction under dynamic and time-varying strategies on the population level. Utilizing real-world data collected from the intensive care unit (ICU), we evaluate the …
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Post-secondary Students' Travel Behavior through the Lens of Urban and Rural Contexts
… trip-based activity type choices and sequential departure time decisions. These models capture interdependencies across multi-destination trips, enabling a more realistic representation of student travel patterns in dense urban environments. The other two studies draw on a …
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Generative modeling of sequential data
… we investigate various approaches for generative modeling, with a special emphasis on sequential data. Namely, we develop methodologies to deal with issues regarding representation (modeling choices), learning paradigm (e.g. maximum likelihood, method of moments, adversarial training), and …
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Electric vehicules cyber-attack detection
… high accuracy, especially where the sequential model could capture the temporal dependencies of LSTM and GRU models. The thesis also examined implications of using ML/DL hybrids for intrusions detection and discussed several main principles to consider in the context of specificity in …