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 19 of 19 for “"Data Reconstruction"”.
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Near wall high resolution particle image velocimetry and data reconstruction for high speed flows
… well as proper methodology for processing of the data. This work addresses those issues and successfully demonstrates a test inside of a transonic turbine cascade as well as a high speed high magnification wall jet. From previous studies it was established that flow tracer delivery is not a …
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Safeguarding sensitive data: prompt engineering for Gen AI
… A major risk with GenAI is the potential for data reconstruction, where AI systems can inadvertently regenerate or infer sensitive mission data, even from anonymized or fragmented inputs. This is relevant today because we are in an AI arms race against our adversaries much like the race to the …
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Computational Privacy with Split Learning: Benchmarking of Algorithmic Defenses against Reconstruction Attacks
… potential for significant impact in preserving data privacy and improving model accuracy by leveraging massive sets of training data. However, passing intermediate weights, gradients, or activations is inherent in current distributed learning techniques, all of which contain information related …
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POCS Augmented CycleGAN for MR Image Reconstruction
Traditional Magnetic Resonance Imaging (MRI) reconstruction methods, which may be highly time-consuming and sensitive to noise, heavily depend on solving nonlinear optimization problems. By contrast, deep learning (DL)-based reconstruction methods do not need any explicit analytical data model and …
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Novel Phantoms and Post-Processing For Diffusion Spectrum Imaging
… and develop user-friendly software for DSI data reconstruction and analysis. Phantoms with a fixed crossing fiber configuration of two crossing fibers at 90° and 45° respectively along with a phantom with three crossing fibers at 60°, using novel hollow plastic capillaries and novel …
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Random Vibration Analysis of Higher-Order Nonlinear Beams and Composite Plates with Applications of ARMA Models
… the fatigue life of the structure. A statistical data reconstruction technique named ARMA modeling and its applications in random vibration data analysis are discussed. The model is applied to the simulation data of nonlinear beams. It is shown that good estimations of both the nonlinear …
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Motion capture based motion analysis and motion synthesis for human-like character animation.
… quality of generated motion from motion capture data, especially when integrating motion transitions from different motion clips. The presented motion data reconstruction technique is able to build convincing realistic transitions from existing motion database, and overcome the inconsistencies …
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Event Based Media Indexing
Multimedia data, being multidimensional by its nature, requires appropriate approaches for its organizing and sorting. The growing number of sensors for capturing the environmental conditions in the moment of media creation enriches data with context-awareness. This unveils enormous potential for …
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Understanding nanomagnetism from all angles: Developments in magnetic electron tomography
… experiments both through improvements to the data acquisition process as well as through changes to the data reconstruction process. At the end of the thesis, the individual strands of prior knowledge, electron tomography, and image analysis are applied independently to different projects in a …
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Sparse seismic signal processing using adaptive dictionaries
… result for interpretation necessitates accurate data acquisition and efficient imaging algorithms. However, seismic data gathers may suffer from noisy and missing traces during acquisition which could possibly limit their use in the following imaging phase. As a convincing quantitative imaging …
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Enhancing land seismic data with compressive sensing and processing
… are challenging to apply for land seismic data. Unlike in marine acquisition where the source signal propagates through a near-homogeneous acoustic water layer, land acquisition places sources and receivers on a free-surface boundary between air and often poorly consolidated sediments. This …
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Privacy Attacks and Defenses under Security Threats in Machine Learning
… or model owners, including recovering training data, inferring membership, and cloning the trained model without authentication. In terms of security, the functionality of machine learning models might be disrupted by malicious users. Both types of attacks pose challenges to the widespread …
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Probabilistic models for drug dissolution
… during dissolution, using noisy drug delivery data. Further, important investigations on the determination of factors responsible for noise and quantification of noise levels, are reported. In the first part of the thesis, an investigation of MC-based methods in the field of Drug Delivery is …
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Developing High Spatial Resolution MRI Methods for Characterisation of Porous Materials
… MRI pulse sequences and compressed sensing data reconstruction techniques; 17.6 μm is the highest spatial resolution reported for MRI images of rocks. To this end, a novel MR data under-sampling approach was developed using input from X-ray micro-computed tomography (μCT) data to derive …
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Real-Time Processing and Visualization of 3D Time-Variant Datasets
… the efficient rendering of measured or simulated data points, surfaces, volumes, and a time component to convey the dynamic nature of the studied phenomena. With the explosive growth in the size of the data, interactive visualization of scientific data becomes a real challenge. In recent years, …
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All-Sky Search for Very-High-Energy Emission from Primordial Black Holes and Gamma-Ray Bursts with the HAWC Observatory
… view, near-continuous uptime, and large archival dataset, it serves as an ideal observatory with which to search for transient sources of all kinds. We apply these advantages to perform searches for two types of transient sources--- Primordial Black Holes (PBHs) and Gamma-Ray Bursts (GRBs). The …
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Adaptive nonlocal and structured sparse signal modeling and applications
… imaging (MRI), and computed tomography (CT) reconstruction have been shown to benefit from adaptive sparse signal modeling. However, synthesis dictionary learning typically involves expensive sparse coding and learning steps. Recently, sparsifying transform learning received interest for its …
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Reynolds-Averaged Navier-Stokes Computation of Tip Clearance Flow in a Compressor Cascade Using an Unstructured Grid
… method, and higher order accuracy is attained by data reconstruction based on Taylor series expansion. Gauss theorem is used to formulate necessary gradients. For time integration, an implicit scheme based on linearized Euler backward method is used. A tetrahedral unstructured grid generation code …
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Iterative reconstruction as a novel method of radiation dose reduction at computed tomography in patients with Crohn's disease
… fundamental limitation with conventional CT raw data reconstruction was the inherent coupling of administered radiation dose with observed image noise – the lower the radiation dose, the noisier the image. The renaissance, rediscovery and refinement of iterative reconstruction removes this …