Sökning: "real-world data"

Visar resultat 1 - 5 av 490 avhandlingar innehållade orden real-world data.

  1. 1. Bufferbloat and Beyond : Removing Performance Barriers in Real-World Networks

    Författare :Toke Høiland-Jørgensen; Anna Brunström; Per Hurtig; Luca Muscariello; Karlstads universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Bufferbloat; AQM; WiFi; XDP; TSQ; Flent; network measurement; performance evaluation; fairness; queueing; programmable packet processing; Computer Science; Datavetenskap;

    Sammanfattning : The topic of this thesis is the performance of computer networks. While network performance has generally improved with time, over the last several years we have seen examples of performance barriers limiting network performance. In this work we explore such performance barriers and look for solutions. LÄS MER

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

    Författare :Chandadevi Giri; Ulf Johansson; Jenny Balkow; Xianyi Zeng; Sebastien Thomessey; Maria Riveiro; Högskolan i Borås; []
    Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; SOCIAL 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 ;

    Sammanfattning : 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. LÄS MER

  4. 3. Safety-Aware Autonomous Systems : Preparing Robots for Life in the Real World

    Författare :Mattias Tiger; Fredrik Heintz; Patrick Doherty; Rachid Alami; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Real‐world autonomous systems are expected to be increasingly deployed and operating in real‐world environments over the coming decades. Autonomous systems such as AI‐enabled robotic systems and intelligent transportation systems, will alleviate mundane human work, provide new services, and facilitate a smarter and more flexible infrastructure. LÄS MER

  5. 4. Patient-reported and medical outcomes in patients treated for diabetic macular edema : A real-world longitudinal study

    Författare :Therese Granström; Janeth Leksell; Anna Forsberg; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Diabetes mellitus; Patient-reported outcomes; Retinopathy; Macular edema; Anti-VEGF treatment; Medicinsk vetenskap; Medical Science; Hälsa och välfärd; Health and Welfare;

    Sammanfattning : Background Diabetes mellitus can lead to complications, when the complication affects the eyes it is called retinopathy. This can affect the macula and lead to severe loss of vision, diabetic macular edema (DME). This condition has traditionally been treated with laser. LÄS MER

  7. 5. A Further Step of Causal Discovery towards Real-World Impacts

    Författare :Ruibo Tu; Hedvig Kjellström; Cheng Zhang; Robin Evans; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; causal discovery; missing data; fairness; functional causal model; Datalogi; Computer Science;

    Sammanfattning : The goal of many sciences is to find causal relationships and understand underlying mechanisms. As the golden standard for finding causal relationships, doing randomized experiments can be difficult or impossible in some applications; hence, determining underlying causal relationships purely from observational data, i.e. LÄS MER