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Showing result 1 - 5 of 255 essays matching the above criteria.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
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2. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
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3. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. READ MORE
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4. Machine Learning for Spatial Positioning for XR Environments
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : This bachelor's thesis explores the integration of machine learning (ML) with sensor fusion techniques to enhance spatial data accuracy in Extended Reality (XR) environments. With XR's revolutionary impact across various sectors, accurate localization in virtual environments becomes imperative. READ MORE
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5. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation
University essay from Blekinge Tekniska HögskolaAbstract : Background: The evolving landscape of 3D data processing, particularly pointcloud manipulation, is pivotal in numerous applications ranging from architecturaldesign to spatial analysis. Traditional methods, primarily mesh generation from point clouds, face challenges in adapting to complex real-world scenarios. READ MORE