Sökning: "datavetenskap implementering"

Visar resultat 1 - 5 av 332 uppsatser innehållade orden datavetenskap implementering.

  1. 1. Implementing End-to-End MLOps for Enhanced Steel Production

    M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Marcus Westin; Jacob Berggren; [2024]
    Nyckelord :MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER

  2. 2. Semantisk eller keywords? : En studie av interna sökfunktioner och användarens upplevelse

    M1-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Charlotte Strand; [2023]
    Nyckelord :semantic search; azure cognitive search; keyword search; user experience search engines;

    Sammanfattning :  The idea for this study is based on a collaboration with Södra Skogsägarna Ekonomisk Förening, one of Sweden's leading forest industries, who wanted to investigate the possibilities of a new internal search function on its public website, primarily with the help of Azure Cognitive Search. Before and in connection with the implementation of a new search function, the following questions aimed to be answered: • RQ1: How does semantic search differ from keyword search? What are the limitations of semantic search today? • RQ2: In what ways does the user experience of the new search function differ from the old search function? To find answers to the questions, a literature study was conducted and case studies consisting of a survey among the website's visitors and two different user surveys. LÄS MER

  3. 3. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  4. 4. Customizable Contraction Hierarchies for Mixed Fleet Vehicle Routing : Fast weight customization when not adhering to triangle inequality

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

    Författare :Martin Larsson; [2023]
    Nyckelord :Contraction Hierarchies; Customizable Contraction Hierarchies; Vehicle Routing Problem; Battery Electric Vehicles; Mixed Fleet; Kontraktionshierarkier; Anpassningsbara Kontraktionshierarkier; Ruttplanering; Batteridrivna elfordon; Blandad fordonsflotta;

    Sammanfattning : As the transport industry shifts towards Battery Electric Vehicles (BEVs) the need for accurate route planning rises. BEVs have reduced range compared to traditional fuel based vehicles, and the range can vary greatly depending on ambient conditions and vehicle load. LÄS MER

  5. 5. Risk Analysis and Cybersecurity Implementation for UTM : Implemented in UTM50

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Inge Hannson; Fredrik Nääs; [2023]
    Nyckelord :UTM; U-space; UTM50; Drone; Drones; Cybersecurity; ZeroMQ; CurveZMQ;

    Sammanfattning : With the increasing usage of Unmanned Aerial Vehicle (UAV)s and the prediction of becoming applicable to more industries within the next decade there is a need for a controlling authority in the lower airspace. An Unmanned Aircraft System Traffic Man- agement (UTM) provides multiple solutions to how such a system should operate and what services it should provide. LÄS MER