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Showing 1 to 10 of 10 for “"Data Engineering"”.

  1. Essays on Data Frameworks and Sustainable AI for Public Health

    This thesis explores data-centric and computational approaches to public health, integrating methods from data engineering, Artificial Intelligence (AI), and statistical evaluation. The overarching goal is to promote reliability, interpretability, and sustainability in the management and analysis …

    cagliari Repository record for Essays on Data Frameworks and Sustainable AI for Public Health (opens in a new tab)

  2. Application of deep learning to land cover classification: practical issues and strategies

    … to urban studies and planning. Large-scale databases provide comprehensive records, but in many circumstances, they need to be supplemented or substituted by alternative data sources. The advent of deep learning provides an efficient, low-cost data generation method in which a trained deep …

    mit Repository record for Application of deep learning to land cover classification: practical issues and strategies (opens in a new tab)

  3. Predicting and Preventing Unsafe Events at an Enterprise

    … routinely, and automatically collected data on work equipment, work orders, human resources allow for the hypothesis that operating parameters are indicative of unwanted events. We find that machine and work order variables are poor indicators of the frequency of unsafe incidents. A …

    mit Repository record for Predicting and Preventing Unsafe Events at an Enterprise (opens in a new tab)

  4. From digitalization to P&L : integrating the value chain of energy industry to improve social and financial profits

    … of the digital core of the enterprise, including data engineering, data science, and business intelligence, were explored. The pathway of adding value via data utilization across the value chain was investigated in the research, followed by two case studies of using digital solutions to optimize …

    mit Repository record for From digitalization to P&L : integrating the value chain of energy industry to improve social and financial profits (opens in a new tab)

  5. Big data toward vehicle health monitoring system: an engine health perspective

    … high volume, high velocity, and heterogeneous data streams, limiting real-time fault detection, predictive maintenance, and operational reliability. Addressing these limitations requires a cohesive, multi-layered framework that unifies scalable data management, real-time analytics, and …

    wlv Repository record for Big data toward vehicle health monitoring system: an engine health perspective (opens in a new tab)

  6. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation

    … were investigated and re-analyzed using a big-data computational approach. First, a co-expression approach was taken in which gene expression patterns were analyzed of genes correlated with PAO expression and activated in seed tissue that has undergone freeze-treatment episodes compared to …

    uiuc Repository record for Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation (opens in a new tab)

  7. DADA: Dynamic authenticator for data access

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms

    uiuc Repository record for DADA: Dynamic authenticator for data access (opens in a new tab)

  8. Análise de indicadores de desempenho numa indústria de têxteis: uma abordagem em Power BI

    As organizações enfrentam desafios significativos na consolidação, transformação e análise dos dados de vendas, decorrentes da complexidade da informação empresarial, do alto volume de dados gerados e das limitações dos sistemas de reporte tradicionais. As ferramentas convencionais revelam-se, …

    aberta Repository record for Análise de indicadores de desempenho numa indústria de têxteis: uma abordagem em Power BI (opens in a new tab)

  9. High-Latitude Ionospheric Irregularities Characterized Through Machine Learning Methods

    <p>This study uses Machine Learning and data-driven techniques to understand plasma irregularities in high-latitude regions better. By combining observations and recent findings from modeling, the goal is to identify and classify scintillation signatures caused by different types of irregularities …

    embry-riddle Repository record for High-Latitude Ionospheric Irregularities Characterized Through Machine Learning Methods (opens in a new tab)