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 “"Prediction pipeline"”.
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Sensing and Predicting Urban Rail Platform Crowding Using Emerging Data Sources
… platform-level crowding, focusing on enhancing prediction accuracy, spatial granularity, and operational interpretability through multi-source data integration. We first employ a gradient-boosted tree regression model (LightGBM) to leverage fare card transaction, vehicle location, weather, and …
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Predicting Disease Progression Using Deep Recurrent Neural Networks and Longitudinal Electronic Health Record Data
… by the cross- sectional nature of training and prediction processes. Finding temporal patterns in EHR is especially important as it encodes temporal concepts such as event trends, episodes, cycles, and abnormalities. Previously, there have been attempts to utilize temporal neural network models …
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Novel Cas orthologs from natural reservoirs and design of a directed evolution approach in mammalian cells to enhance their editing potential
… we have developed a highly-performing PAM prediction pipeline and identified a repertoire of about 33,000 unreported Cas9s. Here, we combined such large variety of orthologs with a prediction-based PAM-specific approach for allele-specific gene editing, and we isolated small Cas9s tailored …
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Algorithm development for RNA structure prediction in RNA viruses
… to fill the gaps among existing RNA structure prediction programs by looking for all possibly functionally relevant short-range and long-range interactions that are conserved within a multiple sequence alignment, thereby allowing for the detection of pseudoknots and mutually exclusive …
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Annotating and characterizing orphan gene in Zea mays via diverse RNA-Seq data
… and their function. The traditional gene model prediction pipeline is based on the ab initio method and sequence homology, which is lacking for the orphan genes. It is hard to predict orphan genes by traditional methods. Moreover, orphan genes usually only expressed in some specific conditions. …
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Accurate Protein Function Prediction with Graph Transformer-Based Function Localization
Protein function prediction is a fundamental challenge in biology, crucial for understanding biological processes, disease mechanisms, and accelerating drug discovery. While computational methods leveraging sequence or structural information have advanced, accurately translating protein structure …
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Prediction of canine epilepsy
Seizure prediction is a problem in biomedical science which now is possible to solve with machine learning methods. A seizure prediction system has the power to assist those affected by epilepsy in better managing their medication, daily activities and improving the quality of life. Usage of …
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Application of Machine Learning in Different Stages of Oil Reservoir Development
… The processes of well logging interpretation and pipeline non-destructive examination (NDE) are time consuming and subjective. Numerical flow simulation models do provide a relatively reliable and appropriate approach to conduct a reservoir analysis, but they are laborious and time consuming. In …