Search for dissertations about: "Historical data"

Showing result 1 - 5 of 511 swedish dissertations containing the words Historical data.

  2. 1. Life paths through space and time: Adding the micro-level geographic context to longitudinal historical demographic research

    Author : Finn Hedefalk; Centrum för ekonomisk demografi; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Geographic micro-level factors; longitudinal historical data; geocoding; historical demography; 19th century; individual level; spatio-temporal analysis; detailed geographic data; geographic context.; property units; rural historical soceties; Geographic micro-level factors; longitudinal historical data; geocoding; historical demography; 19th century; individual level; spatio-temporal analysis; detailed geographic data; property units; geographic context;

    Abstract : Historical demographic research is central to understanding past human behaviours and traits, such as fertility, mortality and migration. An essential part of historical demography is conducting longitudinal analyses at the micro-level, which involves the detailed follow-up of individuals over long time periods throughout their lives. READ MORE

  4. 2. Data-driven AI Techniques for Fashion and Apparel Retailing

    Author : Chandadevi Giri; Ulf Johansson; Jenny Balkow; Xianyi Zeng; Sebastien Thomessey; Maria Riveiro; Högskolan i Borås; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digitalization; artificial intelligence; fashion and apparel industry; churn prediction; sales forecasting; campaign analysis; data driven AI decision-making; 数字化，人工智能，服装产业，客户流失预测，销售预测，竞争分析，数据驱动的人 工智能决策; Digitalisation; intelligence artificielle IA; industrie de la mode et de l habillement; prédiction de désabonnement; prévision des ventes; analyse des promotions; Prise de décision par IA axée sur les données; Digitalisering; Artificiell intelligens; Modeindustrin; Churnprediktion; Försäljningsprognoser; Kampanjanalys; Datadriven AI; Beslutsstöd; Business and IT; Handel och IT; Textil och mode generell ; Textiles and Fashion General ;

    Abstract : Digitalisation allows companies to develop many new ways of interacting with customers and other stakeholders. These digital interactions typically generate data that can be stored and later processed for different objectives. READ MORE

  5. 3. Data and Time Efficient Historical Document Analysis

    Author : Florian Westphal; Håkan Grahn; Niklas Lavesson; Angelo Marcelli; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer Systems Engineering; Datorsystemteknik;

    Abstract : Over the last decades companies and government institutions have gathered vast collections of images of historical handwritten documents. In order to make these collections truly useful to the broader public, images suffering from degradations, such as faded ink, bleed through or stains, need to be made readable and the collections as a whole need to be made searchable. READ MORE

  6. 4. Data-driven quality management using explainable machine learning and adaptive control limits

    Author : Niklas Fries; Patrik Rydén; Jun Yu; Rebecka Jörnsten; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quality management; machine learning; local explanation methods; process adjustment policies; simulation; matematisk statistik; Mathematical Statistics; data science; data science;

    Abstract : In industrial applications, the objective of statistical quality management is to achieve quality guarantees through the efficient and effective application of statistical methods. Historically, quality management has been characterized by a systematic monitoring of critical quality characteristics, accompanied by manual and experience-based root cause analysis in case of an observed decline in quality. READ MORE

  7. 5. From Data to Decision Support in Manufacturing

    Author : Maja Bärring; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; standards; Industry 4.0; Smart Manufacturing; manufacturing system lifecycle; data-driven decision-making; 5G; digitalization; interoperability;

    Abstract : Digitalization is changing society, industry, and how business is done. For new companies that are more or less born digital, there is the opportunity to use and benefit from the capabilities offered by the new digital technologies, of which data-driven decision-making forms a crucial part. READ MORE