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 212 for “"change detection"”.
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Change detection for activity recognition.
… a regular interval without specific and precise detection of the indicator of the degrading performance of the model. This approach can lead to wastage of system resources dedicated to continuous adaptation. This thesis addresses the problem of detecting changes in the accuracy of activity …
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Data-efficient quickest change detection
In the classical problem of quickest change detection, a decision maker observes a sequence of random variables. At some point of time, the distribution of the random variables changes abruptly. The objective is to detect this change in distribution with minimum possible delay, subject to a …
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Automated Change Detection in Privacy Policies
… for users to understand and take note of any changes of interest or concern when these policies are changed or revised.</p> <p>With recent development of machine learning and natural language processing, tools that can automatically annotate sentences of policies have been developed. These …
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Obstacle and Change Detection Using RGB Cameras
Obstacle and change detection using RGB camera is implemented with 48 training videos of obstacle-free paths, considering the surroundings as part of the paths to detect any ob- stacles and changes on the test image paths in this study. This study introduces a dual- approach framework combining …
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Change Detection In Rhesus Monkeys and Humans
… VWM and its encoding limitations has been change detection. Early work focused on how many items could be stored in VWM, leading to the popular theory that humans could remember no more than 4±1 items. More recently, proposals have suggested that VWM is a noisy, continuous resource …
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Image-Based Spatial Change Detection Using Deep Learning
Image change detection is an invaluable tool in monitoring and understanding the built and physical environments and supporting decision-making. Many recent research approaches for automatic change detection have been based on Deep Learning (DL) techniques and especially on variations of …
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Change Detection Memory In Rhesus Monkeys and Humans
… task for studying VSTM in humans has been the change detection task. In this task, subjects must remember several visual items per trial in order to identify a change following a brief delay interval. Results from change detection tasks have shown that VSTM is limited; humans are only able to …
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Automating Bridge Inspections Using Prompt-Based Change Detection
… presents a practical workflow for prompt-based change detection to address these challenges. We generate “before/after” training pairs using two simple synthetic data steps: (1) mask guided partial to complete inpainting to create clean “before” images from real damaged photos, and (2) in-domain …
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Satellite change detection in the albany thicket biome
… primarily four traditional remote sensing based change detection frameworks: algebra, transformations, classification, and advanced models (van Oort, 2007, Asokan and Anitha, 2019). While these methods are able to detect changes in bi-temporal datasets they are inherently limited in that they are …
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Energy change detection to assist in tactical intelligence production
… A relatively new technology, known as Energy Change Detection (ECD), was fashioned in order to alleviate a portion of the "background noise," or signals not of interest to the SIGINT analyst. ECD has been tested and its operational capability verified and validated by senior analysts. With the …
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Time series segmentation techniques for land cover change detection
… the location and extent of global land cover change. In this study, we focus on time series segmentation techniques in the context of land cover change detection. We propose a model based time series segmentation algorithm inspired by an event detection framework proposed in the field of …
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Quickest change detection with applications to line outage detection
… this work, we focus on applications of quickest change detection (QCD) theory in the problem of line outage detection and identification. We start by discussing fundamental results of sequential hypothesis testing and QCD, and by proposing an algorithm for the QCD setting under transient …
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Real-time power system topology change detection and identification
This thesis proposes a framework for detection and identification of system topological changes in near real-time that utilizes the statistical properties of electricity generation and demand, which are assumed to be known. Instead of relying on offline models as with traditional methods, the …
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Exact Solution of Bayes and Minimax Change-Detection Problems
The challenge of detecting a change in the distribution of data is a sequential decision problem that is relevant to many engineering solutions, including quality control and machine and process monitoring. This dissertation develops techniques for exact solution of change-detection problems with …
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Exact Solution of Bayes and Minimax Change-Detection Problems
The challenge of detecting a change in the distribution of data is a sequential decision problem that is relevant to many engineering solutions, including quality control and machine and process monitoring. This dissertation develops techniques for exact solution of change-detection problems with …
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A spatial display for Ground-Penetrating Radar change detection
… noise and reject clutter for optimal object detection and tracking. Change Detection (CD) is one approach to solving these signal detection challenges by leveraging the concept that changes are more relevant than absolute measurements. This research focuses on the Gopher vehicle-mounted CD …
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Change Detection and Analysis of Data with Heterogeneous Structures
… the observations collected from a process may change on its mean or variance. In numerous applications, data are often of mixed types including both discrete and continuous variables. Heterogeneity also commonly arises in data when underlying models vary across different segments. Besides, the …
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Advanced Techniques for Automatic Change Detection in Multitemporal Hyperspectral Images
… sufficient for representing only the major changes). To fully utilize the available multitemporal hyperspectral images and their rich information content, it is necessary to develop advanced techniques for robust change detection (CD) in multitemporal hyperspectral images, thus to …
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