Essays about: "accelerate learning"

Showing result 1 - 5 of 37 essays containing the words accelerate learning.

  1. 1. Wound Treatment : An overview and initial investigation of wound care and bioactive materials

    University essay from Uppsala universitet/Tillämpad materialvetenskap

    Author : Louise Ringholm; [2023]
    Keywords : Wound treatment; wound care; bioactive materials; calcium silicate;

    Abstract : Wound care is a field with many treatment methods and products on the market. The healing period varies, some wounds become difficult to heal and chronic, in many cases a connection can be drawn to underlying diseases. Diabetes is a disease that could cause foot ulcers that are difficult to heal. READ MORE

  2. 2. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks

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

    Author : Yuhang Li; [2023]
    Keywords : DNN; Soft errors; Redundancy; DRL; DQN; Transfer learning; Training time; DNN; Mjuka fel; Redundans; DRL; DQN; Överföringsinlärning; Utbildningstid;

    Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE

  3. 3. Solving Partial Differential Equations With Neural Networks

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Håkan Karlsson Faronius; [2023]
    Keywords : Partial differential equations; neural networks; physics-informed neural networks; deep ritz method; fourier neural operator; importance sampling; inverse problems;

    Abstract : In this thesis three different approaches for solving partial differential equa-tions with neural networks will be explored; namely Physics-Informed NeuralNetworks, Fourier Neural Operators and the Deep Ritz method. Physics-Informed Neural Networks and the Deep Ritz Method are unsupervised machine learning methods, while the Fourier Neural Operator is a supervised method. READ MORE

  4. 4. Tuning of the ESS Drift Tube Linac using Machine Learning

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/European Spallation Source ESS AB

    Author : Johan Lundquist; [2022]
    Keywords : Accelerator; drift tube linac; machine learning; neural network; ESS; linac; tuning; proton; longitudinal dynamics; beam physics; Physics and Astronomy;

    Abstract : The European Spallation Source, currently under construction in Lund, Sweden, will be the world's brightest neutron source. It is driven by a linear accelerator designed to accelerate a beam of protons with 62.5 mA, 2.86 ms long pulses, working at 14 Hz. READ MORE

  5. 5. Transformative change through local networks - A case study on the ‘Local Roadmap for a Climate Neutral Building & Construction Industry 2030’ in Malmö, Sweden

    University essay from Lunds universitet/Internationella miljöinstitutet

    Author : Christopher Marton; [2022]
    Keywords : Urban Network Governance; Local Networks; Transition Management; GHG Mitigation; Building and Construction Sector; Social Sciences;

    Abstract : With rapid urbanization and an increasing share of anthropogenic greenhouse gas emissions from cities, low-carbon urban transformations are critical for mitigating climate change. Local climate networks have been recognized for their potential to govern such activities. READ MORE