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Showing result 1 - 5 of 18 essays matching the above criteria.

  1. 1. Macro-based Adjustment Factors for Valuations in Venture Capital

    University essay from Lunds universitet/Nationalekonomiska institutionen

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Matematik LTH

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Dimitrios Koutlis; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

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

    Abstract : 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. READ MORE

  6. 5. Validation of basal area growth functions for larch in Heureka DSS

    University essay from SLU/Southern Swedish Forest Research Centre

    Author : Sebastian Carlzon; [2022]
    Keywords : validation; Heureka; Larix; Larix sibirica; Larix sukaczewii; Larix decidua; Larix x eurolepis; Siberian larch; European larch; hybrid larch; growth model validation; Heureka DSS; basal area growth;

    Abstract : Larch is getting more common in Sweden. This highlights the need of reliable growth models for larch species in Heureka DSS. Precise and accurate growth models are essential for long-term forest planning. READ MORE