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 24 for “"automated algorithms"”.
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Automated evaluation of radiodensities in a digitized mammogram database using local contrast estimation
… and there exists an urgent need to develop automated methods for predicting this marker. Previous attempts for automatically identifying and quantifying radiodense tissue in digitized mammograms have fallen short of the ideal. Many algorithms require significant heuristic parameters to be …
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Automated Filtering and Attribution of Archive Bathymetry Based on A Priori Knowledge
… and assess quality. This thesis develops automated algorithms based on a priori knowledge of existing bathymetric topography to remove errant soundings and concurrently provide an estimate of uncertainty.</p>
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Social signaling in decision making
… the variance in individual outcome. The use of automated algorithms enables to build real-time feedback mechanisms that can then help users to improve and achieve their objectives.
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An Evaluation of DEM Generation Methods Using a Pixel-Based Landslide Detection Algorithm
… step in landslide susceptibility mapping, and automated algorithms for landslide detection will increasingly be relied upon as part of the mapping process. This study compares the effects of three different DTM generation methods on a pixel-based landslide detection algorithm developed by Shi …
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Road Features Extraction Using Terrestrial Mobile Laser Scanning System
… LiDAR data. We detail the development of three automated algorithms for the extraction of road features from terrestrial mobile LiDAR data. LiDAR data is a rich source of 3D geo-referenced information whose volume and scale have inhibited the development of automated algorithms. Automated …
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Human Versus Computer Algorithmic Measurements of Caloric Response: Implications for Test Analysis
… compared between examiner-modified tracings and automated algorithms. Results: Algorithms erroneously selected artifact in 9.7% of tests. Examiner cleaning resulted in a mean change in TES of (-)4deg/sec (95%CI 3-4, p<0.001) but no change in UW%. Limits of agreement (Bland-Altman analyses) for …
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Topology-aware optimal task allocation framework for mission critical environment: Centralized and decentralized approaches
… MCE, in this thesis, I have proposed two novel automated algorithms. The first algorithm is called Centralized Optimal Task Allocation Algorithm (COTAA), where I consider OTA for publish/subscribe-based MCE since it has unique characteristics such as high level publish/subscribe node and task …
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Structured machine learning for dynamical systems in healthcare
… to dynamical system modelling, which employs automated algorithms to extract or approximate the governing equations from training data with minimum human inputs. Unlike the expert-driven approach, the data-driven approach requires large volumes of high-quality training data (data intensive). …
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Image and video analysis techniques for cellular microscopy
… OF MISSOURI AT AUTHOR'S REQUEST.] Advances in automated digital microscopy imaging made it possible to produce multi-dimensional image data that can capture dynamic characteristics of sub-cellular and cellular structures. Biologists routinely produce large volumes of bioimage time lapse data …
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Automated nasal feature detection for the lexical access from features project
… implementation, and evaluation of a set of automated algorithms to detect nasal consonants from the speech waveform in a distinctive feature-based speech recognition system. The study used a VCV database of over 450 utterances recorded from three speakers, two male and one female. The first …
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Integrated Methodologies Based on Structural Health Monitoring for the Protection of Cutural Heritage Buildings
… dedicated software for static monitoring and automated algorithms for modal parameters identification have been developed, able to provide almost real time information on the health state of the monitored structure. Finally integrated procedures based on robust statistical and numerical models …
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Modeling Forest Canopy Distribution from Ground-Based Laser Scanner Data
… plot canopy occluded from the scanner's view. Automated algorithms were developed to extract points representing tree bole surfaces, bole centers and ground surfaces. The extracted points served as the control surfaces necessary for registration. Occlusion was minimized by combining aligned …
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Tools for Behavioral Phenotyping of C. elegans
… is easy to build and use and can operate in an automated fashion for days at a time. I then use this platform to understand the consequences of quiescence deprivation to C. elegans health. To quantify complex animal postures, and plant and stem cell aggregate morphology, I develop an app to …
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Statistically modelling tennis racket impacts with six degrees of freedom
… impact locations were collected, measured using automated image processing algorithms to digitise ball centroids. An established spin measurement method was improved to correct for perspective errors associated with the proximity of the cameras to the test volume. The automated algorithms were …
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Calculating and Assessing Mobile Mapping System Point Density for Roadside Infrastructure Surveys
… data storage and is the underlying limit of automated algorithms. Insufficient knowledge of the factors in uencing MMS point density means that defning point density in project specifications is a complicated process. The objectives of this thesis are to calculate point density, to assess MMS …
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Automated Data-driven Algorithm and Mechanism Design in Online Advertising Markets
Modern automated-bidding (or autobidding) ecosystems have fueled the prevalence of programmatic advertising, which accounts for 90% of total digital ad transaction volume and more than 120$ billion dollar ad spend in 2022. In an autobidding ecosystem, online advertisers convey high-level goals to …
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Investigating micro-scale EEG transients as potential biomarkers for early prediction of Hypoxic Ischemia and their relationship to perinatal preterm brain injury
… of this research was to develop real-time automated algorithms for accurate and reliable identification and quantification of the potential biomarkers of evolving HI brain injury that emerge as particular micro-scale epileptiform HI transients in a profoundly suppressed …
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Multiset Model Selection and Averaging, and Interactive Storytelling
… connections between documents in a network. Such automated algorithms often do not agree with user's mental map of the data. Hence systems that incorporate feedback through visual interaction from the user are of immediate importance. We pro- pose a visual analytic framework in which such …
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Algorithms and Data Structures for Automated Change Detection and Classification of Sidescan Sonar Imagery
… dissertation presents a data structure and three algorithms, developed by the author, that are part of an automated change detection and classification (ACDC) system. MIW analysts at the Naval Oceanographic Office, to reduce the amount of time to perform change detection, are currently using ACDC. …
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Contribution to Agents-Based Negotiation and Monitoring of Cloud Computing Service Level Agreement
… establish a Service Level Agreement (SLA); thus automated negotiation is needed to establish SLAs between service providers and consumers with no previous knowledge of each other. In this thesis, I propose, an Automated Cloud Service Level Agreement framework (ACSLA). ACSLA is made up of five …
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