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 16 of 16 for “"Short-term prediction"”.
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Risk stratification by analysis of electrocardiographic morphology following acute coronary syndromes
… of high-risk patients--s an important step in determining who is most likely to benefit from aggressive treatments. We propose a new automated risk stratification technique that uses the long-term electrocardiographic data routinely recorded in the days following an ACS. Data obtained from …
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Multivariate Time-Series Deep Learning for Short-Term Forecasting of Lost Circulation in Drilling Operations
… operational delays, and increased risk. Accurate prediction of lost circulation is challenging due to the complex, time-dependent interactions among drilling parameters, formation conditions, and operational states. This thesis investigates the use of multivariate time-series deep learning models …
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Dynamic model for space-time weather radar observation and nowcasting
… of adaptive scanning of storm systems. The short-term prediction of radar reflectivity fields based on the space-time dynamic model is evaluated using observed radar data. The simulations of the DARTS for real-time applications are also conducted and evaluated.
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Numerical and asymptotic modeling of evolving nonlinear ocean surface wave fields
… angular distributions are employed. Both deterministic and Monte-Carlo simulations and the corresponding analysis were carried out. Based on preliminary numerical analysis, certain conclusions are drawn on the validity of the modified nonlinear Schrödinger equation (MNLS) of Dysthe (1979) in …
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Diabetes Mellitus Glucose Prediction by Linear and Bayesian Ensemble Modeling
… within acceptable limits. Risks of developing short- and long-term complications, due to both too high and too low blood glucose concentrations are severalfold, and, generally, the glucose dynamics are not easy too fully comprehend for the affected individual—resulting in poor glucose control. …
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Experimental Mechanics of Crack Width in Full-Scale Sections of Continuously Reinforced Concrete Pavements
… temperature. Two procedures were developed to determine crack width from the measurement of crack closing. They use the deformation caused by the vertical load and differ from each other in that one uses a constant load level and the other one uses constant temperature to isolate the effects of …
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Deep Learning for Short-Term Spatiotemporal Prediction of Shared Dockless E-Scooter Demand: Grid-Based Representation, Temporal Input Design, and Day-Type-Aware Model Benchmarking
… spatiotemporal demand patterns, making accurate short-term prediction critical for fleet rebalancing and operations. Despite growing interest in shared micromobility demand prediction, literature still lacks a coherent image-based deep learning framework. This is important because e-scooter …
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Quality of service technologies for multimedia applications in next generation networks
… basis has been defined, making use of a short-term prediction of the network delay to keep the probability of playback buffer starvation lower than a desired threshold during each window. Finally, a framework for mutual authentication in web applications has been proposed and evaluated. …
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Satellite Channel State Prediction based on Fade Slope and Artificial Intelligence (AI) Algorithms
… transfer large volumes of data from the ground terminals on earth, to satellites in space, requires systems to operate at higher frequencies (such as Ka, Q/V), where there is adequate bandwidth available to achieve the required multi-gigabyte per second data rate. But these frequency bands …
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Threat Assessment and Proactive Decision-Making for Crash Avoidance in Autonomous Vehicles
Threat assessment and reliable motion-prediction of surrounding vehicles are some of the major challenges encountered in autonomous vehicles' safe decision-making. Predicting a threat in advance can give an autonomous vehicle enough time to avoid crashes or near crash situations. Most vehicles on …
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Traffic Signal Phase and Timing Prediction: A Machine Learning and Controller Logic Hybrid Approach
… explores the different ways in which predictions can be made for the most likely switching times. Data are gathered from six intersections along the Gallows Road corridor in Northern Virginia. The application of long-short term memory neural networks for obtaining predictions is …
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A service-driven approach to assist water management during extreme events
Water shortages and flooding have caused large property losses and endangered human lives in many areas. Rapid and informed response is needed to ensure effective water management, including reliable and immediate data synthesis, near-real-time forecasting, and model-based decision support for …
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Superconducting magnetic energy storage for power system stability and quality enhancement
… are applied to forecast renewable energy as a short-term prediction of wind power fluctuations. The backpropagation function is used for training the NNs on wind speed variations and then NN is used as a predictive controller. To increase the stability of wind power systems, the proposed …
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Extreme weather disaster resilient port and waterway infrastructure for sustainable global supply chain
… is largely dependent on seaports and marine terminals. Ports serve international cargo traffic for imports and exports. About 90% of the world’s goods are transported by sea and over 70% as containerized cargo ships. Coastal hurricanes/cyclones and rainfall flood disasters cause major …
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Data-driven Ocean Modelling
… deep neural networks to emulate the ocean over short term prediction steps. We assess the emulator with a particular focus on the performance at coastal locations, as this is a specific challenge associated with the application of data-driven models to the ocean rather than the atmosphere. We …