Sökning: "noise solution"

Visar resultat 1 - 5 av 275 uppsatser innehållade orden noise solution.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  3. 2. XZDDF Bootstrapping in Fully Homomorphic Encryption

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Simon Ljungbeck; [2024]
    Nyckelord :Fully Homomorphic Encryption; Homomorphic Encryption; Bootstrapping; Blind Rotation; XZDDF; Technology and Engineering;

    Sammanfattning : Despite the vast research on the topic in recent years, fully homomorphic encryption schemes remain time-inefficient. The main bottleneck is the so-called bootstrapping, whose purpose is to reduce noise that has accumulated after having performed homomorphic operations on a ciphertext. LÄS MER

  4. 3. Prediction of multiple conformational states of membrane proteins

    Master-uppsats, Linköpings universitet/Bioinformatik

    Författare :Tobias Thorén; [2024]
    Nyckelord :Bioinformatics; Protein prediction; AlphaFold;

    Sammanfattning : Predicting protein structures has long been an area of active research in the field ofbioinformatics. Great strides have recently been made in this area by googles DeepMindteam. They developed an AI called AlphaFold which is able to make the most accuratepredictions of protein structures as of date. LÄS MER

  5. 4. Effectiveness of Iterative Algorithms for Recovering Phase in the Presence of Noise for Coherent Diffractive Imaging

    Master-uppsats, Göteborgs universitet / Institutionen för fysik

    Författare :Henry Wittler; [2023-11-29]
    Nyckelord :;

    Sammanfattning : Methods of coherent diffractive imaging (CDI) rely on iterative algorithms to reconstruct the complex exit-surface wave (ESW) of the object being imaged from the measured diffraction intensity only. In this thesis we investigate by simulation the artifacts on reconstruction when noise are present in the measurement. LÄS MER

  7. 5. Decoding the surface code using graph neural networks

    Master-uppsats, Göteborgs universitet / Institutionen för fysik

    Författare :Moritz Lange; [2023-10-17]
    Nyckelord :;

    Sammanfattning : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. LÄS MER