Essays about: "classical VaR approaches"

Showing result 1 - 5 of 8 essays containing the words classical VaR approaches.

  1. 1. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

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

    Author : Axel Valentin Maza; [2023]
    Keywords : Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

    Abstract : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. READ MORE

  2. 2. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method

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

    Author : Alex Gunnarsson; Filip Karlsson; [2023]
    Keywords : ;

    Abstract : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. READ MORE

  3. 3. Evaluation of Machine Learning Methods for Time Series Forecasting on E-commerce Data

    University essay from KTH/Matematisk statistik

    Author : Peter Abrahamsson; Niklas Ahlqvist; [2022]
    Keywords : Thesis; Time Series; Machine Learning; E-commerce; Demand Forecasting; Multiple Linear Regression; SARIMAX; XGBoost; LSTM; Model Evaluation; Examensarbete; tidsserier; maskininlärning; e-handel; efterfrågeprognoser; multipel linjär regression; SARIMAX; XGBoost; LSTM; modellutvärdering;

    Abstract : Within demand forecasting, and specifically within the field of e-commerce, the provided data often contains erratic behaviours which are difficult to explain. This induces contradictions to the common assumptions within classical approaches for time series analysis. Yet, classical and naive approaches are still commonly used. READ MORE

  4. 4. D-Wave Systems Quantum Computing : State-of-the-Art and Performance Comparison with Classical Computing

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

    Author : Jaime Vallejo Benítez Cano; [2021]
    Keywords : ;

    Abstract : The aim of this project is to study Quantum Computing state-of-art and to compare it with classical computing methods. The research is focused on D-Wave Systems’ Quantum Computing approach, exploring its architectures: Chimera and Pegasus; tools, and its Quantum Annealing process. READ MORE

  5. 5. Implementation and Analysis of Authentication and Authorization Methods in a Microservice Architecture : A Comparison Between Microservice Security Design Patterns for Authentication and Authorization Flows

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

    Author : Simon Tran Florén; [2021]
    Keywords : Authentication; Authorization; Access control; Microservices; Microservice Security; Security Tokens; Security Patterns; Performance; Autentisering; Auktorisering; Åtkomstkontroll; Mikrotjänster; Mikrotjänstsäkerhet; Säkerhetstokens; Säkerhetsdesignmönster; Prestanda; Belastningstestning;

    Abstract : Microservices have emerged as an attractive alternative to more classical monolithic software application architectures. Microservices provides many benefits that help with code base comprehension, deployability, testability, and scalability. READ MORE