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 105 for “"density-based"”.
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Density Based Data Clustering
… is a data analysis technique that groups data based on a measure of similarity. When data is well clustered the similarities between the objects in the same group are high, while the similarities between objects in different groups are low. The data clustering technique is widely applied in a …
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Density based kinetic Monte Carlo methods
… Methode wurden hier entwickelt: (i) die Adatom Density Kinetic Monte Carlo (AD-KMC) Methode und die Adatom Probability Kinetic Monte Carlo (AP-KMC) Methode. Beide Methoden sind eng miteinander verbunden, wobei die AD-KMC-Methode eine Nährung der AP-KMC-Methode darstellt. Beide Methoden wurden …
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Coping With New Challengens for Density-Based Clustering
… clusters is minimized. Beside many others, the density-based clustering notion underlying the algorithm DBSCAN and its hierarchical extension OPTICS has been proposed recently, being one of the most successful approaches to clustering. In this thesis, our aim is to advance the state-of-the-art …
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DENSITY BASED FRAMEWORKS FOR SPATIO-TEMPORAL CHANGE ANALYSIS
… transportation, and forestry. On the other hand, density functions have served as a valuable tool in data mining. However, the development of spatiotemporal data mining techniques based on density estimation functions, particularly for change analysis, is still in its infancy. To address the need …
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Density-based clustering of information networks by substructure optimization
… entities, which can be identified by clustering. Density-based clustering (DBC) differs from vertex-partitioning methods in that some vertices are classified as noise. This approach is useful in practice to classify groups of related entities within noisy networks. The baseline DBC method involves …
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Video Object Counting in Unconstrained Environments Using Density-Based Clustering
In this thesis, we present a video object counting approach using multiple local feature matching. We explain the development of a dataset with which to test our approach. Our dataset uses a new approach which we designed to extract object ground truth. We also provide a comparison of common single …
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Design and Application of Hollow Silica Microspheres for Density-based Bioseparations
… required. Our “molecular buoy” approach used low-density hollow silica microspheres, functionalized with target-specific antibodies to bind and separate target biomolecules from a complex sample matrix by floatation. We characterized the size and floatation properties of the hollow microspheres in …
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Design and application of hollow silica microspheres for density-based bioseparations
… required. Our “molecular buoy” approach used low-density hollow silica microspheres, functionalized with target-specific antibodies to bind and separate target biomolecules from a complex sample matrix by floatation. We characterized the size and floatation properties of the hollow microspheres in …
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Modeling species geographic distributions in aquatic ecosystems using a density-based clustering algorithm
… aquatic organisms are more likely to be present, based on a density-based clustering algorithm as a proxy of the realized niche (i.e., abiotic, and biotic environmental conditions occupied by the organism). Supported by ecological theories and methods, my central hypothesis is that because …
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Density-Based Clustering of High-Dimensional DNA Fingerprints for Library-Dependent Microbial Source Tracking
… In this thesis, we evaluate the use of density-based clustering for identifying strains in CPLOP. Density-based clustering finds clusters of points which have a minimum number of other points within a given radius. We contribute a clustering algorithm based on the original DBSCAN …
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Development and preliminary numerical investigations of a dislocation density-based finite-strain rate-dependent elastoplasticity constitutive model
… numerical investigations of a dislocation density-based finite-strain rate-dependent elastoplasticity constitutive model Finite-strain elastoplasticity constitutive models suitable for process-scale simulation are typically developed from empirical observations of phenomena of interest. …
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Trustworthy Reinforcement Learning under Constraints and Perturbations
… such as safety and fairness, we propose Density-Based Correlated Equilibria (DBCE) and the Density-Based Correlated Policy Iteration (DBCPI) algorithm. (2) To address sequential resource allocation with situational constraints, we develop a primal–dual Situational Constraint RL (SCRL) …
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Multimodal biometrics score level fusion using non-confidence information
… categories of fusion approaches including rule based, classification based and density based approaches are available. When choosing an approach, one has to consider not only the fusion performance, but also system requirements and other circumstances. In the context of verification, …
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High-Resolution peripheral Quantitative Computed Tomography Based Finite Element Modelling of Distal Radius Strength: Assessing Effect of Heterogeneous Material Properties and Scan Site
… quantitative computed tomography (HR-pQCT) based finite element (FE) models of distal radius sections explains 66% of variance in experimental testing results on intact forearms under fall configuration testing. However, this FE model employs a somewhat simplistic modeling approach in that …
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A Machine Learning Framework for Securing Patient Records
… a novel machine learning framework using a density-based local outlier detection model, in addition to employing a Human-in-the-Loop Machine Learning (HILML) approach. The density-based outlier detection model enables patterns in EPR data to be extracted to profile user behaviour and device …
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Effects of Downwash when Measuring Gas Concentration with UAV-Mounted Gas Sensors
… enough to cause significant changes in density-based gas concentration measurements. US regulations evaluate gas concentration as a function of gas density, and accurate concentration measurements are critical for protecting health and safety, which means evaluation of actual downwash …
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Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts
… framework called Satpura, which provides density estimation, hotspot discovery, and change analysis capabilities for spatial data. The framework supports naïve, and kernel density estimation approaches for raw and relative densities. To identify density hotspots, we designed a novel …
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Enhancing the injectability of high concentration drugs via core annular flows
… the importance of different flow regimes and density based eccentricity in dictating lubrication in the needle. Finally, we quantify the maximum pressure reduction that can be achieved with such a lubricating core annular flow.
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Development of a Higher-Order Navier-Stokes Solver for Transient Compressible Flows
<p>A higher‐order density based Navier‐Stokes solver was developed for 2‐Dimensional flows using the finite volume approach. The Van leer flux‐splitting technique was used to calculate the fluxes. The second‐order spatial accuracy was achieved using the variable extrapolation method developed by …
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