Sökning: "trajectory data"

Visar resultat 1 - 5 av 258 uppsatser innehållade orden trajectory data.

  1. 1. Artificiell Intelligens vid Mergers & Acquisitions En kvalitativ studie om hur Artificiell Intelligens påverkar den kommersiella Due Diligence-processen vid Mergers & acquisitions.

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :David Sax; Hannes Hård Af Segerstad; Hugo Törnqvist; [2024-03-06]
    Nyckelord :;

    Sammanfattning : This thesis explores the impact of Artificial Intelligence on the Due Diligence process in Mergers & Acquisitions. The study focuses on the integration of AI in streamlining and enhancing the efficiency of the DD process, traditionally known for being extensive and time-consuming. 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. Supply Chain Resilience within the Automotive Industry - A single-case study on the importance of Supply Chain Resilience practices for an automotive MNC as a result of the COVID-19 pandemic and the Russia-Ukraine war

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Kawi Ali; Kevin Aslani; [2023-07-18]
    Nyckelord :Supply Chain Resilience; Supply Chain Management; automotive industry; COVID-19; Russia-Ukraine war; Volvo Cars–Polestar; disruptions; strategies;

    Sammanfattning : Background: The automotive industry is a complex industry and sensitive to the business environment surrounding it. This has been shown by the last years, which have been dominated by disruptions and economic turbulence due to the COVID-19 pandemic and the war between Russia and Ukraine. LÄS MER

  5. 4. Enabling Hybrid Real Time and Retrospectively Gated Imaging in a Numerical Phantom

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Sara Mineur; [2023]
    Nyckelord :Cardiovascular Magnetic resonance Imaging CMR ; Sector Wise Golden-Angle SWIG ;

    Sammanfattning : Sector-Wise Golden Angle (SWIG) is a novel approach that was developed to address the limitations associated with Golden Angle radial imaging, commonly used for high temporal resolution flow measurements. Golden angle radial imaging is a time-efficient method that effectively reduces motion sensitivity. LÄS MER

  7. 5. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :August Söderlund; [2023]
    Nyckelord :Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

    Sammanfattning : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. LÄS MER