Essays about: "Business Classification"

Showing result 16 - 20 of 170 essays containing the words Business Classification.

  1. 16. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

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

    Author : Aksel Uhr; [2023]
    Keywords : Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE

  2. 17. Out of the Books and Into the Woods

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Elisabeth Molin; [2023]
    Keywords : Limit Order Book; Cryptocurrency; Random forest; Market Microstructure; Lead-lag; Business and Economics;

    Abstract : The objective of this thesis is to analyze the predictive power of the cryptocurrency limit order book for return predictions. The analysis is performed for the BTC/USD and ETH/USD directional 10-second returns, using limit order book data from three of the largest cryptocurrency spot exchanges. READ MORE

  3. 18. Classifying Google reCAPTCHA v2 - A study using transfer learning models and evaluating their robustness against adversarial perturbations

    University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Author : Arvid Björklund; Marius Uogele; [2023]
    Keywords : reCAPTCHA; transfer learning; adversarial perturbations; convolutional neural network; Business and Economics;

    Abstract : This thesis seeks to examine the suitability and robustness of transfer learning models in creating an efficient reCAPTCHA v2 classifier, and further evaluates their performance against various adversarial attacks. Three models - DenseNet201, EfficientNetV2, and InceptionV3 - were trained and assessed, highlighting the applicability of transfer learning techniques in the classification of reCAPTCHA v2 challenges. READ MORE

  4. 19. Classifying High-Growth Manufacturing Firms on the Swedish Stock Market:A Comparative Study Between the Logistic Regression, Support Vector Machine and Artificial Neural Network

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : William Fridström; [2023]
    Keywords : Machine Learning; Econometrics; Firm Growth; Binary Classification; Prediction; Model comparision.; Business and Economics;

    Abstract : This is a comparative study between two modern machine learning algorithms, the Support Vector Machine and Artificial neural network, and one traditional econometric model, the Logistic regression. The main objective is to compare their performance by classifying high-growth companies. READ MORE

  5. 20. The EU Taxonomy and the Energy Supply Sector - A qualitative case study on the implications of the EU Taxonomy on the regulatory reporting requirements in the energy supply sector

    University essay from Lunds universitet/Ekonomisk-historiska institutionen

    Author : Hannah Beckenbauer; [2023]
    Keywords : Business and Economics;

    Abstract : The EU Taxonomy provides a clear set of criteria for identifying sustainable economic activities and facilitating investment flows in alignment with sustainable practices. Although dynamic, the Taxonomy emphasizes the mitigation of greenhouse gas emissions and biodiversity conservation, making it crucial for companies, policymakers, and capital markets. READ MORE