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 24 for “"multi-source data"”.
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Bayesian model-based clustering of multi-source data
Inferring a partition of a dataset can help in downstream analyses and decision making. However, there often exist many feasible partitions, which makes the problem of inferring clusters challenging. A demanding problem is analysis of data generated across multiple sources. Bayesian mixture models …
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Seismic precursor identification method integrating acoustic emission physical models and multi-source data
… and field measurements, while integrating multi-source data and deep learning techniques to construct an intelligent precursor warning framework. The main research work and conclusions are as follows: (1) An AE signal analysis method based on the critical fluctuation (MCF-B) approach is …
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Using Multi-Source Data to Assess the Dynamics of Socioeconomic Development in Africa
… Line System (DMSP-OLS) nighttime lights (NTL) data. However, the DMSP-OLS NTL data and the associated processing methods have limited their reliability and applicability for systematic measuring and mapping of socioeconomic development. This research utilizes Visible Infrared Imaging Radiometer …
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Perpetual exploration of relational information and enhanced star glyphs for multi-source data visualization
… concerned with the presentation of abstract data in a visual format. It has many diverse applications in fields of software engineering, information sciences, biology, chemistry, and medical, among others. This thesis is primarily concerned with the application of information visualization to …
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A knowledge-based framework to manage plastic waste in urban environments usimg multi-source data.
Debido al continuo aumento de la cantidad de residuos plásticos a nivel mundial, la definición de políticas eficientes de planificación urbana junto con una correcta gestión y recogida de los residuos domésticos pueden ser a menudo un reto muy exigente. Muchas ciudades y países se enfrentan a …
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Unifying multi-source data and modeling perspectives to investigate connectivity and material transport in coastal river deltas
… involved, characterizing connectivity requires a multi-scale and multi-perspective approach that integrates numerical modeling, remote sensing, and on-the-ground observations. In this dissertation, we leverage an unprecedented suite of observations in two coastal systems in Louisiana to advance …
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Development of a computer vision-based platform for non-invasive multi-source data collection in nicus and its application to neonatal movement analysis
… del Mar, Cádiz), donde se recopilaron datos multimodales; los datos capturados se preprocesaron y organizaron automáticamente para construir NeoVault. Esta base de datos ofrece una interfaz web y API REST para consultar, filtrar, visualizar y exportar información. NeoVault almacena cientos de …
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Leader-member exchange and work value congruence: a multiple levels approach
… makes a difference in the exchange relationship. Multi-source data (matching superior-subordinate reports) for 110 dyads indicate that the leader-member exchange relationship is best described at the dyad level when Within and Between Analysis (WABA) is employed to test the relationship. These …
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Data Intensive Method For Processing Defect Detection and Mitigation For Composites
… is limited by the lack of in situ imaging data and effective anomaly detection models trained specifically for defect detection during composite curing. In this study, different methods were proposed to detect and reduce processing defects in conventional and additive manufacturing of …
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A wavelet-based system for event detection in online real-time sensor data
… the process of which generates huge volumes of data that need to be mined for interesting events in real-time. The purpose of this research is to develop a method to identify these events, and to provide users with an architecture that will allow them to analyze events online and in real-time, …
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An informatics system for exploring eye movements in reading
… and process the large quantity of numerical data produced by the eye tracker. However, most applications, especially commercial products, are designed for a particular tracking device and tend to be general purpose. Few of them are designed specifically for reading research. This can be …
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Sensing and Predicting Urban Rail Platform Crowding Using Emerging Data Sources
… and operational interpretability through multi-source data integration. We first employ a gradient-boosted tree regression model (LightGBM) to leverage fare card transaction, vehicle location, weather, and public event data from the Washington Metropolitan Area Transit Authority (WMATA) to …
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Fake It Until You Make It? Female Leaders’ Emotional Expression Management and Subordinates’ Gender Stereotypes
… and attitudinal outcomes, this study used multi-source data from female leaders and their followers to examine the moderation effect of subordinates’ sex-based stereotypes on the relationship between leaders’ EEM and three dyadic outcomes: trust, satisfaction with communication, and …
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Hexagonal Discrete Global Grid Systems in Topographical and Hydrological Modeling
… This dissertation then focused on the terrain data integration, management, and analysis in the Icosahedral Snyder Equal Area Aperture 3 Hexagonal Grid (ISEA3H) DGGS. Specifically, the integration process, including quantization and aggregation, of multi-source terrain data at various …
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The local knowledge bank : uncovering the processes and networks of social innovation at Brazil's first community bank
… a working conceptual framework of knowledge, multi-source data collection, including semistructured interviews and extensive participant observation, and other fieldwork activities. The resulting 22 formal interviews from 13 institutions and additional case study data were interpreted with …
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Flood risk modeling and impact assessment using google earth engine in Mpumalanga province, South Africa
… Earth Engine (GEE) cloud computing platform and multi-source spatial data (Sentinel-1 SAR, Sentinel-2 and CHIRPS). The study aimed to assess flood dynamics in the study area through two main components: a detailed assessment of flood events and an inter-annual analysis covering the period …
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The motivational factors for Foreign Direct Investment (FDI) in Tourism in Libya
… for restructuring firms in the host economies. Multinational companies (MNCs) have played a significant role in the development and continuity of the travel and tourism industry throughout the world. The presence of these companies in the accommodation sector continues to increase. In some …
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Machine learning-based analytics of structured and unstructured data for enhanced bridge deterioration prediction
… increasing availability of heterogeneous bridge data from multiple sources opens unprecedented opportunities for data analytics to better predict bridge deterioration for supporting enhanced bridge maintenance decision making. Such data include structured National Bridge Inventory (NBI) and …
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