Sökning: "urban integration"

Visar resultat 1 - 5 av 406 uppsatser innehållade orden urban integration.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

  2. 2. Multicriteria Evaluation in Real Estate Land-use Suitability Analysis: The case of Volos, Greece

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Panagiotis Dimitrios Tsachageas; [2024]
    Nyckelord :Geography; GIS; Real Estate; Multicriteria Evaluation; Fuzzy; AHP; Earth and Environmental Sciences;

    Sammanfattning : The integration of Geographic Information Systems (GIS) into real estate analysis has long been considered an interesting interdisciplinary pursuit, but has yet to become mainstream. Despite the increasing academic focus over the last twenty years, this endeavour has mostly been approached from the scientific side of Geography. LÄS MER

  3. 3. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Anastasia Sarelli; [2024]
    Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER

  4. 4. Business Model Innovation for Energy Communities : A Cross-Comparative Analysis with the Business Model Canvas in the Swedish energy market

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Sohel Abdu; [2024]
    Nyckelord :Energy Communities; Renewable Energy Systems; Business Model Canvas Innovation; Swedish Energy Policy; Prosumer engagement; Circular Energy Economy; Smart Energy Technology; Sustainable Energy Transition.; Energigemenskaper; Förnybara Energisystem; Affärsmodells Canvas Innovation; Svensk Energipolitik; Prosumer engagemang; Cirkulär Energi Ekonomi; Smart Energiteknik; Hållbar Energi Övergång;

    Sammanfattning : This thesis undertakes a thorough exploration of business models for energy communities, specifically tailored to the unique requirements of the Swedish energy sector. Its objective is to identify and evaluate global business models for energy communities, focusing on their applicability within Sweden's regulatory, market, and socio-cultural contexts. LÄS MER

  5. 5. Prototyping and Evaluation of a Lightweight Simulator Concept Combining Physical and Digital Assets

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Nicke Carlsson; Carl Månsson; [2023-09-27]
    Nyckelord :Virtual reality; extended reality; mixed reality; tactical training; simulation; combat; medical; treatment; tccc; unreal engine;

    Sammanfattning : Serious injuries often occur in high-risk environments such as warfare, urban combat, and traffic accidents. The medical proficiency of soldiers and first responders in these situations is paramount. LÄS MER