Sökning: "Network planning"

Visar resultat 1 - 5 av 700 uppsatser innehållade orden Network planning.

  1. 1. A space-time shape for easier spatiotemporal visualization in traffic networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :David Smeds; [2024]
    Nyckelord :;

    Sammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER

  3. 2. Age-optimal Trajectory Planning for Multiple-UAVAssisted Data Collectio

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :The Chuong Chu; [2024]
    Nyckelord :;

    Sammanfattning : Unmanned Aerial Vehicles (UAVs), or drones, have become a primary tool for data collection due to their rapid and easy mobility, particularly in the current era with a high demand for real-time information updates. To serve this need, optimizing data freshness during information collection is necessary. LÄS MER

  4. 3. Riparian plant biodiversity and community composition of ditches and straightened streams : identifying key environmental drivers in a boreal forest setting

    Master-uppsats, SLU/Dept. of Forest Ecology and Management

    Författare :Rasmus Staaf; [2024]
    Nyckelord :artificial waterways; riparian zone; novel ecosystems; ; forestry; ditch network maintenance; species richness; hill-diversity; drainage ditches; coarse woody debris; ditch cleaning; ecology;

    Sammanfattning : Modified ecosystems are typically seen as degraded and having no ecological value. In many cases, the modification of the ecosystem was done more than 100 years ago and may have had time to recover and become a refugia for species that were once more common in the landscape. LÄS MER

  5. 4. 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

  7. 5. Learning a Grasp Prediction Model for Forestry Applications

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Elias Olofsson; [2024]
    Nyckelord :Forwarder; Autonomous grasping; Deep learning; Multibody dynamics; Convolutional neural network;

    Sammanfattning : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. LÄS MER