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.
Results
Showing 1 to 20 of 27 for “"Predictive algorithms"”.
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Homo prospectus to robo prospectus : towards predictive algorithms for advanced autonomous vehicle perception
… enabling the development and benchmarking of algorithms for agent, action, location, and event detection in road scenes. This dataset addresses the need for holistic scene understanding beyond mere object detection, providing a robust platform for domain adaptation and advanced perception in …
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A statistical perspective on machine learning: three essays on improvement, application and interpretation of predictive algorithms
… learning. This includes the improvement of predictive algorithms using statistical concepts, potential and challenges in the application of predictive algorithms in areas traditionally covered by statistical theory, and the interpretation of black-box algorithms by means of statistical …
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Spatio-temporal comparative analysis of scooter share in Washington D.C.
… of the firms. Computational analysis using predictive algorithms and correlation analysis was done to find co-relationally important features for predicting the dependent variable. Data-preprocessing included computing trips from geospatial data and dividing the city into smaller clusters …
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Predictive earthquake damage modeling for natural gas distribution infrastructure
… based model built upon currently used predictive algorithms, while adding features necessary to account for distribution branch lines and above-ground meter sets. Research and analysis showed factors beyond ground-motion prediction equations could be used to estimate pipeline damage and …
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Stochastic Learning Feedback Hybrid Automata for Dynamic Power Management in Embedded Systems
… (SLA). Several linear and non-linear feedback algorithms are incorporated in the final Stochastic Learning Hybrid Automata (SLHA) model. Simulation-based experiments show the expediency of the feedback systems in stationary environments. Further experiments are conducted using real trace data …
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A Diagnostic and Prescriptive Conformal Prediction Framework: Applied to Sleep Disorders
We propose a novel predictive framework for the future diagnoses and treatments of patients with neurological conditions, specifically patients with sleep disorders, given their clinical history. Via the use of a conformal algorithm with a classifier as its base model, we are able to utilize a …
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Web engine for investigating consumer consideration
… provides a survey framework for investigating algorithms that aim to predict which products a user will place in their consideration set as well as to aid in investigating the factors that can lead to the modification of rules that govern a consumer's consideration set. Firstly I evaluated and …
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Essays on Crime and Law
… first chapter investigates the interplay between predictive algorithms and human discretion in parole decision-making. It examines how deviations from algorithmic recommendations affect recidivism rates, revealing that increased supervision levels—when tailored by professional …
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Microload Management in Generation Constrained Power Systems
… of the entire grid. Therefore, in this thesis, algorithms to efficiently allocate the available generation are investigated to prevent the associated hardships and lose experience by the final consumers and the electric utility suppliers, respectively. <br/><br/>Heuristic technique is utilised …
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Developing an evidence-based system to facilitate the predictive assessment and optimisation of older adults with cancer
… care. Oncogeriatric assessment (OGA) can provide predictive information and optimisation targets to improve these outcomes. OGA has multiple implementation barriers, including uncertainty in delivery, health economic concerns and siloed data. The aim of this thesis was therefore to develop an …
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Heuristic Algorithms for Adaptive Resource Management of Periodic Tasks in Soft Real-Time Distributed Systems
… application tasks for load sharing. We present "predictive" resource allocation algorithms that determine the number of subtask replicas that are required for adapting the application to a given workload situation using statistical regression theory. The algorithms use regression equations that …
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Data Transmission Scheduling For Distributed Simulation Using Packet A
… selection of bundle delimitation, three online predictive strategies were developed: Neural-Network based, Always-Wait, and Always-Send. These were compared with three offline strategies defined as Type, Type-Length and Type-Length-Size. Applying Always-Wait to the studied vignette using the …
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Time Delay Mitigation in Aerial Telerobotic Operations Using Predictors and Predictive Displays
… camera and a pan-tilt-zoom camera. Two predictive display setups were developed that modify the delayed video imagery that would otherwise be presented to the operator in a way that provides an almost immediate visual response to the operator's control actions. The usability of the …
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Enhancing Algorithmic Early Warning Systems with Dynamic Selection to Predict High School Graduation Outcomes
… importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and …
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Reagents and Tools to Identify Epizootic Hemorrhagic Disease Virus-2
… viral capsid proteins, VP2 and VP5. To do this, predictive algorithms were used to generate immunogenic peptides specific for each protein. Three groups of mice were used, one injected with the VP2 peptides, one with the VP5 peptides, and the third with a proprietary marker sequence localized to …
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Modelling and prediction of the evolution of fish farm networks under aquatic disease spread
… changes in the network, (ii) limited use of predictive algorithms accompanied by rigorous evaluation methods, and (iii) a lack of rewiring frameworks to model disruptions. To address these gaps, the research developed the Edge-Weighted Katz Index (EWKI), a spatial link prediction method that …
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Just(ifying) algorithms: Data-driven automated predictions about unobservable targets and the General Data Protection Regulation
Predictive algorithms are increasingly used to profile, rank, classify, and make decisions about groups and individuals. Data-driven machine learning techniques, in which statistical models are developed and updated without any initial prior theory about which data are related to a classification, …
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Faulting, sedimentation and fluid flow at the basin margin : the north Solway fault
… activity is demonstrated at the basin margin. Predictive algorithms which are used for faults within basins are not applicable in faults with a basement footwall. The textures within fault rocks such as gouge and breccias are shown to give an indication of the mechanical state of the fault at …
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Robust Inference via Optimal Transport Ambiguity Sets
… for ensuring the safety and reliability of predictive algorithms in high-stakes applications—ranging from cancer diagnosis to autonomous driving. This challenge is exacerbated by distribution shift, in which the true data–generating distribution diverges from the nominal distribution on …
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NON-INVASIVE METHODS TO PREDICT AND MONITORING METABOLIC DYSFUNCTION ASSOCIATED STEATOTIC LIVER DISEASE BY USING ULTRASOUND IMAGING
… for hepatic steatosis evaluation, by developing predictive models that can reliably estimate LFC based on US images. After a comprehensive study of the state-of-the art methods for the quantification of LFC on US data, conventional image processing methods were employed to extract relevant …
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