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 20 of 24 for “"real-time prediction"”.
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Search-based real-time prediction of CAE solutions
… used to predict hose and cable routings. Over time, these models have made many strides in terms of accurately predicting flexible component shape. However, computer simulations of hoses and cables are extremely time consuming, often times taking several hours or days. A new method of …
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Landslide generated tsunamis : numerical modeling and real-time prediction
Submarine landslides can generate local tsunamis posing a hazard to human lives and coastal facilities. Two major related problems are: (i) quantitative estimation of tsunami hazard and (ii) early detection of the most dangerous landslides. This thesis focuses on both those issues by providing …
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Real-Time Prediction of Lean Blowout using Chemical Reactor Network
… of military jets, and cause a costly and time-intensive reignition of land-based gas turbines. This work explores the feasibility of a model-based combustor monitoring for the real-time prediction of combustion system proximity to LBO. The approach makes use of (1) real-time temperature …
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Real-time Prediction of Dynamic Systems Based on Computer Modeling
… (DTFLOP modeling) technique to predict the real-time behavior of dynamic systems. The proposed DTFLOP modeling classifies the computation into the sequential computation, which is conducted on the CPU, and the parallel computation, which is performed on the GPU and formulates the data …
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Analysis and modeling of airport surface operations
… surveillance data. A probabilistic model for real-time prediction of aircraft taxi-out times is described, which improves upon the accuracy of previous models based on queuing theory and regression. Finally, a regression model for estimation of aircraft taxi-out fuel burn is described. …
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Clinical event prediction and understanding with deep neural networks
Real-time prediction of clinical interventions remains a challenge within intensive care units (ICUs). This task is complicated by data sources that are noisy, sparse, heterogeneous and outcomes that are imbalanced. In this thesis, we integrate data from all available ICU sources (vitals, labs, …
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Unveiling Causal Links, Temporal Patterns, and System-Level Dynamics of Freshwater Salinization Using Transit Time Distribution Theory
… The novel application of unsteady transit time theory reveals that stream salinization can be linked to watershed salt sources using stream water age as a master variable and provides a real-time prediction model for sodium concentration in the reservoir. These results identify substantial …
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Revolutionizing Attention Training in Autism Spectrum Disorder: Pioneering Virtual Reality and Artificial Intelligence
<p>In the realm of educational technology, attention training plays a critical role in tailoring learning experiences to individual needs, especially for learners with autism spectrum disorder (ASD). This study presents an advanced framework that provides insights into the efficacy of reinforcement …
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Multivariate Singular Spectrum Analysis: A Principled, Practical, and Performant Solution for Time Series Imputation and Forecasting
The analysis of multivariate time series data is of great interest across many domains, including cyber-physical systems, finance, retail, healthcare to name a few. A common goal across all of these domains is accurate imputation and forecasting of multivariate time series in the presence of noisy …
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Nonlinear Dynamics, Stochastic Methods, And Predictive Modelling For Infectious Disease: Application To Public Health And Epidemic Forecasting
… to the evolving nature of many processes over time. This thesis introduces flexible models and statistical methods designed to infer data-generating processes that vary temporally. The primary objective is to develop frameworks for efficient estimation and prediction of both univariate and …
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Real-time compensation of static deflections in robotic manipulators
The focus of this work is the real-time prediction and compensation of static deflections in robotic manipulator arms. A general manipulator deflection model is developed based on static beam theory and robot kinematics. An optimization technique is proposed to determine the stiffness of the …
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Assessment of direct methods in power system transient stability analysis for on-line applications
… phasor measurements allows the problem of real time prediction of instability and control to be considered. The use of direct methods for these on-line applications is assessed. The classical representation of a power system allows the use of two reference frames: Center of angle and one …
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Development of dielectric spectroscopic monitoring methods for the prediction of viable cell density and volume in mammalian cell culture
… of off-line biomass monitoring methods for the real-time prediction of viable cell density and viable cell volume in Chinese hamster ovary cell cultures. This work focuses on the use of Biomass Monitor for the monitoring of biomass. Two dual frequency settings and 2 temperatures were examined. …
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Interactive visualizations to improve Bayesian reasoning
… of domains that require practitioners to make predictions about the probability of events contingent upon earlier actions or events. However, much research on judgment has shown that people who are unfamiliar with Bayes’ Theorem often reason quite poorly with conditional probabilities due to …
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An interoperable electronic medical record-based platform for personalized predictive analytics
… in the literature, not all models present high prediction power, and as the result, not all models may reach clinical settings to help healthcare professionals make clinical decisions at the point-of-care. The lack of generalizability stems from the fact that no comprehensive medical data …
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A study of FT-IR spectroscopy for the identification and classifcation of haematological malignancies
… a method to support whole blood count tests for real time prediction of cellular constituents. These findings demonstrate the potential of FT- IR spectroscopy as a clinical tool although more work is needed if it is to be applied in clinical practice.
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Preemptive Detection of Cyber Attacks on Industrial Control Systems
… stealthily compromised. We present several run-time methods for preemptive intrusion detection in industrial control systems to enhance ICS security against reconfiguration and network attacks. A run-time prediction using a linear model of the physical plant and a neural-network based classifier …
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Crowdsourcing traffic data for travel time estimation
Travel time estimation is a fundamental measure used in routing and navigation applications, in particular in emerging intelligent transportation systems (ITS). For example, many users may prefer the fastest route to their destination and would rely on real-time predicted travel times. It also …
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BlueBird: national-scale real-time crop cover classification using multi-stage deep learning approach
An effective real-time crop cover classification prediction is essential to real-time large-scale crop monitoring. High resolution satellite optical data containing distinguishable signals of different crop types have been used by recent crop cover classification studies. However, existing works …
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Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System
… </p><p>This thesis research is focused on real-time optimization and knowledge discovery that addresses workflow optimization, resource allocation, as well as data-driven predictions of process-execution times, order fulfillment, and enterprise service-level performance. In contrast to …
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