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Showing result 1 - 5 of 51 essays matching the above criteria.

  1. 1. DIAGNOSING ETHERNET CABLES USING TIME DOMAIN REFLECTOMETRY IN ETHERNET CIRCUITS

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Anton Sundqvist; [2023]
    Keywords : ;

    Abstract : Ethernet cables are a vital component in modern systems, providing reliable data transmission between devices. However, like any other physical component, these cables are subject to wear and tear. Depending on several factors, this wear and tear can happen at different rates, and unplanned stops in a system must be avoided. READ MORE

  3. 2. Transverse Momentum Spectra in pp collisions (\sqrt{s}\) = 7 TeV and \(\sqrt{s}\) = 13 TeV in ALICE

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysik

    Author : Andreas Stokkeland; [2023]
    Keywords : Multiplicity; Multiplicity classes; Soft interactions; Quark Gluon Plasma; QGP; transverse momentum; p_T; Chi-squared; fits; fit functions; Levy; Lévy; Exponential; BGBW; Boltzmann-Gibbs blast-wave; Fermi-Dirac; Bose-Einstein; Boltzmann; pion; kaon; proton; transverse momentum spectra; p_T spectra; surface velocity; Minimum Bias; MB; Physics and Astronomy;

    Abstract : In this project particle production as a function of transverse momentum (\(p_{\rm T}\)) in proton-proton collisions at a center-of-mass energy (\(\sqrt{s}\)) of 7 TeV and 13 TeV has been studied. The transverse momentum is interesting to study since it reflects momentum created in the collision (before the collision, all momentum is in the beam - going in a longitudinal direction) and therefore gives information on the collision dynamics. READ MORE

  4. 3. Evaluation of Computer Tomography based Cancer Diagnostics with the help of 3D Printed Phantoms and Deep Learning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Alex Back; Pontus Pandurevic; [2023]
    Keywords : Machine Learning; Deep Learning; Convolutional Neural Networks; Perception Loss; CNN; DL; ML; Computer Tomography; CT; Cancer Diagnostics; Evaluation of Image Reconstruction; Radiomics; Tumors; 3D Printed Phantoms; 3D Printing; PLA;

    Abstract : Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. READ MORE

  5. 4. 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

  6. 5. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Erika Ax; Elin Djerf; [2023]
    Keywords : mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

    Abstract : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. READ MORE