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Showing result 1 - 5 of 668 essays matching the above criteria.

  1. 1. Offshore Wind Farms in Norway : A Spatial Multi-Criteria Analysis for Optimal Site Location

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Adam Törnqvist; Vincent Edberg; [2024]
    Keywords : Offshore wind power; Spatial Multi-criteria Analysis; Renewable energy; Suit-ability map; Geographical Information System; Havsbaserad vindkraft; Spatial multikriterieanalys; Förnybar energi; Lämp-lighetskarta; Geografiskt informationssystem;

    Abstract : Recognizing the imperative transition towards renewable energy sources to combat climate change, this study explores the outlooks for offshore wind power in Norway, a country endowed with extensive coastlines and favourable wind conditions. The thesis sets out to support decision-making processes by synthesizing contemporary research and applying context-specific insights to the southern half of the Norwegian economic zone (NEZ) into a comprehensive Spatial-Multi-criteria Analysis (SMCA). READ MORE

  3. 2. Jämförelse av uppskattat terrängtransportavstånd mellan beslutstödet Timbertrail och Stora Enso Skogs bortsättningshandbok

    University essay from SLU/School for Forest Management

    Author : Emil Arkegrim; Andreas Appelbring; [2023]
    Keywords : skotning; prissättning; planering; basstråk; basväg;

    Abstract : De tio senaste åren har det i Sverige nettoavverkats mellan 84–92 miljoner m³sk per år och vanligt är att avverkningen planeras, samt beräkning av terrängtransportavståndet. Under dessa tio år har det även utvecklats flera olika beslutstöd för att effektivisera, standardisera och förbättra processen att planera basstråk och basvägar samt att beräkna terrängtransportavståndet. READ MORE

  4. 3. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    University essay from Lunds universitet/Matematik LTH

    Author : Marcus Ascard; Farjam Movahedi; [2023]
    Keywords : 3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Abstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE

  5. 4. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Javier Ferre Martin; [2023]
    Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE

  6. 5. Robust Statistical Jump Models with Feature Selection

    University essay from Lunds universitet/Matematisk statistik

    Author : Jonatan Persson; [2023]
    Keywords : Clustering; Jump; Feature selection; Robust; Mathematics and Statistics;

    Abstract : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. READ MORE