Sökning: "Cognitive Optimization"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Cognitive Optimization.

  1. 1. A spatial data infrastructure based conceptual model for an efficient public transport system

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Franka Grubisic; [2023]
    Nyckelord :public transport; optimization; Spatial Data Infrastructure; digitalization; conceptual model; integrated approach.;

    Sammanfattning : This thesis addresses the pressing need for an efficient public transport system in response to increasing urban population and rising fossil fuel costs. The research aims to satisfy that need by answering the research question guiding this study is: "How can developing an SDI-based conceptual model, leveraging cloud computing, optimize public transport by integrating multiple travel data sources and overcoming data fragmentation and interoperability challenges?". LÄS MER

  3. 2. The User Experience of Manufacturing Factory Screens: Developing Design Patterns using Research-through-Design Methodology

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Adam Červeň; [2023]
    Nyckelord :UX; manufacturing processes; design patterns; data visualization; workflow optimization; UX; tillverkningsprocesser; designmönster; datavisualisering; arbetsflödesoptimering;

    Sammanfattning : The effective visualization of manufacturing data can lead to the minimization of production issues and an increase in the effectiveness of manufacturing processes, by decreasing the cognitive load required for human machine operators to understand what is going on in the factory, improving communication, adding a sense of control, and providing clear access to information. However, the knowledge of how to effectively design visualizations, dashboards, and factory screens is still a topic of research, especially from the user experience point of view. LÄS MER

  4. 3. Exploring the Correlation Between Reading Ability and Mathematical Ability : KTH Master thesis report

    Uppsats för yrkesexamina på avancerad nivå, KTH/Lärande

    Författare :Richard Sol; Alexander Rasch; [2023]
    Nyckelord :Reading ability; Mathematical ability; Model optimization; Eye-tracking; Correlation between mathematics and reading; Machine-learning models; Reading Fluency; Reading comprehension; Formative assessment; Ordinal Regression; Spearman’s correlation coefficient; Grid search.; Läsförmåga; Matematisk förmåga; Modelloptimering; Ögonspårning; Korrelation mellan matematik och läsning; Maskininlärningsmodeller; Läsflyt; Läsförståelse; Formativ bedömning; Ordinal regression; Spearmans korrelationskoefficient; Rutnätssökning.;

    Sammanfattning : Reading and mathematics are two essential subjects for academic success and cognitive development. Several studies show a correlation between the reading ability and mathematical ability of pupils (Korpershoek et al., 2015; Ní Ríordáin & O’Donoghue, 2009; Reikerås, 2006; Walker et al., 2008). LÄS MER

  5. 4. Offline Reinforcement Learning for Optimization of Therapy Towards a Clinical Endpoint

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Simon Jenner; [2022]
    Nyckelord :Offline; Reinforcement learning; Double Deep Q-Network; Cognitive behavior therapy; Digital therapeutics; Optimization; Förstärkningsinlärning; Dubbelt djupt Q-nätverk; Kognitiv beteendeterapi; Digital terapeutika; Optimering;

    Sammanfattning : The improvement of data acquisition and computer heavy methods in recentyears has paved the way for completely digital healthcare solutions. Digitaltherapeutics (DTx) are such solutions and are often provided as mobileapplications that must undergo clinical trials. LÄS MER

  7. 5. Integration of Digital Twin and Deep Learning for facilitating Smart Planning and Construction: An Exploratory Analysis

    Master-uppsats, Jönköping University/JTH, Byggnadsteknik och belysningsvetenskap

    Författare :Mergen Kor; [2021]
    Nyckelord :Digital Twins; Deep Learning; IoT; Decision support; Smart planning and construction; Process optimization; Construction 4.0;

    Sammanfattning : The Architecture, Engineering, and Construction (AEC) industry is known to be overwhelmed with resource planning, risk management, and logistic challenges, resulting in design defects, project delivery delays, cost overruns, and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as Deep learning (DL) to help with diagnostic and prescriptive analysis of causes and preventive measures. LÄS MER