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Visar resultat 1 - 5 av 102 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Exploring the effects of pressure on the magnetic properties of quasi-low dimensional quantum magnets via thermodynamic measurements

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Emelie Zhu; [2024]
    Nyckelord :Physics and Astronomy; Technology and Engineering;

    Sammanfattning : Four model solid state compounds were used to experimentally investigate the effects of pressure on the interactions in one- and two-dimensional Heisenberg magnetic models. BaCuSi2O6, BaCu2V2O8, SrCuO2 and CuGeO3 were successfully synthesized via solid-state reactions and characterized via x-ray diffraction. LÄS MER

  3. 2. Spin-Glass Behaviour in Ordered Solids

    Kandidat-uppsats, Uppsala universitet/Materialteori

    Författare :Erik Karpelin; [2023]
    Nyckelord :spin-glass; self-induced; variation; Edwards-Andersson; glassy;

    Sammanfattning : The spin-glass is a peculiar magnetic phase, exhibiting non-trivial dynamics at low temperatures, characterized by an continuously evolving state without long-range order. The behavior requires some degree of disorder to occur, often in the way of impurities or random exchange energy between the spins. LÄS MER

  4. 3. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Thomas Proudhon; [2023]
    Nyckelord :Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER

  5. 4. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

    Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

  7. 5. Fokus Järva : a case study on Stockholm municipality’s strategies to break residential segregation

    Master-uppsats, SLU/Dept. of Urban and Rural Development

    Författare :Fredy Matamoros Raudales; [2023]
    Nyckelord :urban planning; segregation; Fokus Järva; social sustainability; anti-subordination;

    Sammanfattning : Residential segregation in Stockholm is referred to as a threat to the social cohesion and a hinder for sustainable urban development. Therefore, Stockholm municipality has launched a series of actions explicitly addressing segregation, being urban development projects the most prominent iterations. LÄS MER