Sökning: "Business Modeling"

Visar resultat 1 - 5 av 240 uppsatser innehållade orden Business Modeling.

  1. 1. Modeling Stoppage Time as a Convolution of Negative Binomials

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

    Författare :Råvan Talani; [2023]
    Nyckelord :Machine learning; negative binomial; convolution; stoppage time; injury time; extra time; football;

    Sammanfattning : This thesis develops and evaluates a probabilistic model that estimates the stoppage time in football. Stoppage time represents the additional minutes of play given after the original matchtime is over. It is crucial in determining the course of events during the remainder of a match, thereby affecting the odds of live sports betting. LÄS MER

  2. 2. Low-No code Platforms for Predictive Analytics

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Soma Karmakar; [2023]
    Nyckelord :Low code; no code; Predictive analytics; databricks; azure; AWS; Google cloud;

    Sammanfattning : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. LÄS MER

  3. 3. Increasing explainability of neural network based retail credit risk models

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

    Författare :Anton Evilevitch; [2023]
    Nyckelord :Explainability; Artificial Neural Network; Mortgage Credit Risk Modeling; Förklarbarhet; Artificiella Neurala Nätverk; Modellering av Hypotekskreditrisk;

    Sammanfattning : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. LÄS MER

  4. 4. Using a GIS to enable an economic, land use and energy output comparison between small wind powered turbines and large-scale wind farms: the case of Oslo, Norway.

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Colin Potter; [2023]
    Nyckelord :Geography; GIS; Wind power; Renewable energy sources; urban wind energy; urban areas; planning; vertical axis wind turbines; comparative studies; urban integrated energy systems; Oslo; Roan; Earth and Environmental Sciences;

    Sammanfattning : Responding to an identified knowledge gap, the study aims to determine if smaller wind turbines located on top of existing urban buildings are more resource efficient (land utilization and economically) than large scale wind farms. To answer this question, using a GIS, the resource efficiency of the Roan wind farm in Northern Norway was compared to a theoretical modeled installation of small-scale wind turbines on top of buildings within a 2km radius study zone in central Oslo. LÄS MER

  5. 5. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Isaac Arnold McSey; [2023]
    Nyckelord :Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

    Sammanfattning : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. LÄS MER