Essays about: "Ordinary Differential Equation"

Showing result 1 - 5 of 24 essays containing the words Ordinary Differential Equation.

  1. 1. An agent-based model approach to computational epidemiology

    University essay from KTH/Datavetenskap

    Author : Max Wiktorsson; Emil Franzell; [2022]
    Keywords : ;

    Abstract : The aim of this work was to compare different Non-pharmaceutical interventions (NPIs) in a simulated environment modeling Sweden with 10 000 000 (ten million) agents. Simulating the performance of these NPIs can be beneficial to policymakers and other government officials in order to give the power to make the right decision in the face of an epidemic. READ MORE

  3. 2. Modelling and Simulation of Complete Wheel Loader in Modelica : Evaluation using Modelon Impact software

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

    Author : Paolo Teta; [2022]
    Keywords : Modelica; Wheel Loader; Mechanics; Object-orientation; Modelling; Simulation; Differential Algebraic Equations; Ordinary Differential Equations; Modelica; Hjullastare; Mekanik; Objektorientering; Modellering; Simulering; Differentialekvationer;

    Abstract : Modelling and simulation of complex and multi-domain mechanical systems has become of major importance in the last few years to address energy and fuel consumption performance evaluation. The goal is to unify the available modelling languages aiming to improve scalability and easiness of handling complex multi-domain models. READ MORE

  4. 3. Parameter estimation in a cardiovascular computational model using numerical optimization : Patient simulation, searching for a digital twin

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

    Author : Giulia Tuccio; [2022]
    Keywords : Parameter estimation; Enhanced Scatter Search; Particle Swarm; Hooke and Jeeves; Cardiovascular Models; Parameteruppskattning; förbättrad spridningssökning; Particle Swarm; Hooke och Jeeves; kardiovaskulära modeller;

    Abstract : Developing models of the cardiovascular system that simulates the dynamic behavior of a virtual patient’s condition is fundamental in the medical domain for predictive outcome and hypothesis generation. These models are usually described through Ordinary Differential Equation (ODE). READ MORE

  5. 4. Physics-informed Neural Networks for Biopharma Applications

    University essay from Umeå universitet/Institutionen för fysik

    Author : Linnéa Cedergren; [2021]
    Keywords : PINN; PINNs; physics-informed neural networks; neural networks; machine learning; sartorius; CSTR;

    Abstract : Physics-Informed Neural Networks (PINNs) are hybrid models that incorporate differential equations into the training of neural networks, with the aim of bringing the best of both worlds. This project used a mathematical model describing a Continuous Stirred-Tank Reactor (CSTR), to test two possible applications of PINNs. READ MORE

  6. 5. Physics-Informed Deep Learning for System Identification of Autonomous Underwater Vehicles : A Lagrangian Neural Network Approach

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

    Author : Badi Mirzai; [2021]
    Keywords : AUV; System Identification; Deep Learning; Physics-Informed Deep Learning; Lagrangian Neural Networks; AUV; System Identifiering; Djupinlärning; Fysik-Informerad Djupinlärning; Lagrangianska Neurala Nätverk;

    Abstract : In this thesis, we explore Lagrangian Neural Networks (LNNs) for system identification of Autonomous Underwater Vehicles (AUVs) with 6 degrees of freedom. One of the main challenges of AUVs is that they have limited wireless communication and navigation under water. READ MORE