Sökning: "auto"

Visar resultat 11 - 15 av 575 uppsatser innehållade ordet auto.

  1. 11. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Nikhil Boyapati; [2023]
    Nyckelord :Auto-Scaling; Auto-Scaling Recommendations; Cloud Environment; K-Nearest Neighbors; Machine Learning; Recommendation Systems; Random Forests; Support Vector Machines;

    Sammanfattning : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. LÄS MER

  3. 12. Getting Mortdogged : How high-ranking players experience randomness in Teamfight Tactics (TFT)

    Kandidat-uppsats, Uppsala universitet/Institutionen för speldesign

    Författare :Maximilian Feig; Adrian Hagerman; [2023]
    Nyckelord :Ludology; Player experience; Randomness; Teamfight Tactics; Uncertainty;

    Sammanfattning : This bachelor thesis seeks to find out what players’ experiences with randomness in Teamfight Tactics (TFT) are like, what makes these experiences good and bad, and what a game developer can learn from them. TFT and Auto-Battlers in general are a topic that has not seen much research despite their immense popularity since their inception. LÄS MER

  4. 13. DRONAR: Obstacle echolocation using ego-noise

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Henrik Nilsson; [2023]
    Nyckelord :Drone; Autonomous systems; Obstacle avoidance; Sound; Noise; Planning; SONAR; Ego-noise; Multi-rotor aerial vehicle; Unmanned areal vehicle; Drönare; Autonoma system; Hinderundvikning; Ljud; Oljud; Planering; SONAR; Egenljud; Multirotorfordon; Obemannat luftfordon;

    Sammanfattning : You do not want your drone to crash. Therefore, safety systems should be put in place to prevent such an event, and obstacle avoidance is a major part of this. Today, the most successful techniques use cameras or light detection and ranging (LIDAR) to find and avoid obstacles; but to improve resiliency, multiple systems should be used. LÄS MER

  5. 14. Evaluating machine learning models for text classification

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Jonas Lilja; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. LÄS MER

  7. 15. Exchange Rate Analysis Between the U.S. Dollar and the Japanese Yen

    Kandidat-uppsats, Uppsala universitet/Statistik, AI och data science

    Författare :Yuta Sakiyama; [2023]
    Nyckelord :;

    Sammanfattning : The exchange data between the U.S. Dollar and Japanese Yen are analyzed with three models called the Auto-Regressive Integrated Moving- Average (ARIMA) model, the Generalized Auto-Regressive Conditional Heteroscedastic (GARCH) model, and the Fractional Differencing model. LÄS MER