Sökning: "spatial processing"

Visar resultat 1 - 5 av 184 uppsatser innehållade orden spatial processing.

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

3. 2. 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. 3. Machine Learning for Spatial Positioning for XR Environments

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

   Författare :Khaled Alraas; [2024]
   Nyckelord :Extended Reality; Machine Learning; Sensor Fusion; Spatial Data Accuracy Virtual Productions; Augmented Reality; Virtual Reality; Real-time Camera Tracking; Location-Based Services; Gaming Platforms; Sensor Integration;

   Sammanfattning : 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. LÄS MER

5. 4. Structural analysis of HZO thin film and electrode using X-ray diffraction

   Kandidat-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

   Författare :Elliot Winsnes; [2024]
   Nyckelord :HZO; hafnia; hafnium dioxide; zirconium dioxide; ferroelectricity; ferroelectric; synchrotron radiation; X-ray diffraction; Physics and Astronomy;

   Sammanfattning : Since its discovery in 2011, the ferroelectricity of thin films based on HfO2 has been studied intensively. In particular, thin films with a 1:1 ratio of HfO2 and ZrO2 (HZO) has been of great interest. The ferroelectricity arises from a non-centrosymmetric orthorhombic (o) phase of HZO whose prevalence is dependent on the processing conditions. LÄS MER

7. 5. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation

   Master-uppsats, Blekinge Tekniska Högskola

   Författare :Abhinav Chitta; [2024]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER