Sökning: "Timing prediction"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Timing prediction.

  1. 1. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer

    Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Bálint Sándor; Ziping Wan; [2023]
    Nyckelord :;

    Sammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER

  3. 2. Macro-based Adjustment Factors for Valuations in Venture Capital

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Tomás Pinto; [2023]
    Nyckelord :Valuation; Start-ups; VCM; Multiples Approach; Business and Economics;

    Sammanfattning : This paper focuses on creating macro-based adjustment factors which can be applied to the valuation of start-up companies. Since start-up companies are private, market valuations are limited to events such as funding rounds or M&A transactions, which happen only at discrete points in time. LÄS MER

  4. 3. Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Oliver Persson Bogdanovski; Christoffer Svenningsson; [2023]
    Nyckelord :Precision Agriculture; Sentinel-1 SAR; Machine Learning; Winter Wheat; Harvest Prediction; RFI-filtering; Despeckling; Mathematics and Statistics;

    Sammanfattning : Aiding farmers with their tremendous task of sustainably and cost-efficiently feeding the world is of utmost importance. Information technology plays a crucial role in supporting farmers and supplying them with accurate information about their crops. LÄS MER

  5. 4. Estimation of Voltage Drop in Power Circuits using Machine Learning Algorithms : Investigating potential applications of machine learning methods in power circuits design

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

    Författare :Dimitrios Koutlis; [2023]
    Nyckelord :Voltage drop estimation; Application-specific Integrated Circuits ASICs ; Machine learning algorithms; XGBoost; Convolutional Neural Networks; Graph Neural Networks; Power circuit optimization; Uppskattning av spänningsfall; applikationsspecifika integrerade kretsar ASIC ; maskininlärningsalgoritmer; XGBoost; konvolutionella neurala nätverk; optimering av strömkretsar;

    Sammanfattning : Accurate estimation of voltage drop (IR drop), in Application-Specific Integrated Circuits (ASICs) is a critical challenge, which impacts their performance and power consumption. As technology advances and die sizes shrink, predicting IR drop fast and accurate becomes increasingly challenging. LÄS MER

  7. 5. Voltage-Based Multi-step Prediction : Data Labeling, Software Evaluation, and Contrasting DRL with Traditional Prediction Methods

    Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Joakim Svensson; [2023]
    Nyckelord :Deep Reinforcement Learning; Multi-step Prediction; Time Series Forecasting; Djup Förstärkningsinlärning; Flerstegsprognos; Tidsserieprognos;

    Sammanfattning : In this project, three primary problems were addressed to improve battery data management and software performance evaluation. All solutions used voltage values in time together with various device characteristics. Battery replacement labeling was performed using Hidden Markov Models. LÄS MER