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Showing result 1 - 5 of 332 essays matching the above criteria.

  1. 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 ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : 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;

    Abstract : 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

  3. 2. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers

    University essay from SLU/Dept. of Animal Nutrition and Management

    Author : Emelie Ahlberg; [2024]
    Keywords : body measurement; body weight; growth; heifer; three-dimensional imaging; young stock management;

    Abstract : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. READ MORE

  4. 3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    University essay from Linköpings universitet/Datorseende

    Author : Erica Ingerstad; Liv Kåreborn; [2024]
    Keywords : NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Abstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE

  5. 4. GRADUATE STUDENT EXPERIENCES IN ONLINE MASTER’S PROGRAMS IN CRISIS SITUATIONS

    University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärande

    Author : Sinamis Doughouz; [2023-10-23]
    Keywords : Graduate Students; Online Learning; Online Education; Sweden; Pandemic; Challenges; Transactional Distance Theory;

    Abstract : Purpose: The overall purpose of this qualitative analysis study was to discover how pedagogical, social, and administrative experiences affected graduate student satisfaction, as related to their online learning during the COVID-19 pandemic of 2020-2022. The main instrument used to examine these data was an online survey. READ MORE

  6. 5. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

    University essay from Göteborgs universitet/Institutionen för geovetenskaper

    Author : David Ek; [2023-01-09]
    Keywords : ;

    Abstract : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. READ MORE