Sökning: "benchmark mathematical methods"

Visar resultat 1 - 5 av 9 avhandlingar innehållade orden benchmark mathematical methods.

  1. 1. Machine Learning methods in shotgun proteomics

    Författare :Patrick Truong; Lukas Käll; Peter Nilsson; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; mass spectrometry protein summarization Bayesian hierarchical modelling label-free quantification data-independent acquisition mass spectrometry; benchmark mathematical methods; transformers; computational proteomics; proteomics; bioinformatics; bert; ms2 intensity; probabilistic modelling; Biotechnology; Bioteknologi;

    Sammanfattning : As high-throughput biology experiments generate increasing amounts of data, the field is naturally turning to data-driven methods for the analysis and extraction of novel insights. These insights into biological systems are crucial for understanding disease progression, drug targets, treatment development, and diagnostics methods, ultimately leading to improving human health and well-being, as well as, deeper insight into cellular biology. LÄS MER

  3. 2. Modeling and Control of Flexible Manipulators

    Författare :Stig Moberg; Svante Gunnarsson; Bruno Siciliano; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Modeling; identification; control; robot manipulator; DAE; flexible multibody dynamics; inverse dynamics; benchmark; Automatic control; Reglerteknik;

    Sammanfattning : Industrial robot manipulators are general-purpose machines used for industrial automation in order to increase productivity, flexibility, and product quality. Other reasons for using industrial robots are cost saving, and elimination of hazardous and unpleasant work. LÄS MER

  4. 3. Least Squares Methods for System Identification of Structured Models

    Författare :Miguel Galrinho; Håkan Hjalmarsson; Lennart Ljung; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : The purpose of system identification is to build mathematical models for dynamical systems from experimental data. With the current increase in complexity of engineering systems, an important challenge is to develop accurate and computationally efficient algorithms. LÄS MER

  5. 4. Modern developments in insurance mathematics

    Författare :Lina Palmborg; Filip Lindskog; Mathias Lindholm; Vali Asimit; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; matematisk statistik; Mathematical Statistics;

    Sammanfattning : Arguably the most important developments in the insurance industry in the last decade have been centered around two themes: regulation and machine learning. Regulation has affected both actuarial work and research in insurance mathematics through the introduction of Solvency II in 2016, and more recently IFRS 17. LÄS MER

  7. 5. Module identification in dynamic networks: parametric and empirical Bayes methods

    Författare :Niklas Everitt; Håkan Hjalmarsson; Cristian R. Rojas; Paul Van den Hof; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The purpose of system identification is to construct mathematical models of dynamical system from experimental data. With the current trend of dynamical systems encountered in engineering growing ever more complex, an important task is to efficiently build models of these systems. LÄS MER