Sökning: "relative entropy"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden relative entropy.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  3. 2. Development of a QRNG front-end for shot noise measurement : analysis of quantum shot noise originating from photodiodes

    Master-uppsats, Linköpings universitet/Informationskodning

    Författare :Martin Clason; [2023]
    Nyckelord :shot noise; quantum random number generator; photodiode; transimpedance amplifier; skottbrus; kvantslumptalsgenerator; fotodiod; transimpedansförstärkare;

    Sammanfattning : As one of the more mature quantum technologies, quantum random number generators (QRNGs) fill an important role in producing secure and private keys for use in cryptogra- phy in e.g. quantum key distribution (QKD) systems. Many available QRNGs are expen- sive and optical QRNGs often require complex optical setups. LÄS MER

  4. 3. Investigating the influence of the tidal regime on harbour porpoise Phocoena phocoena distribution in Mount’s Bay, Cornwall

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Duncan Jones; [2023]
    Nyckelord :Geography; Geographical Information Systems; GIS; Habitat Modelling; Harbour Porpoise; MaxEnt; Tidal Processes; Conservation; Earth and Environmental Sciences;

    Sammanfattning : Investigating the influence of the tidal regime on harbour porpoise Phocoena phocoena distribution in Mount’s Bay, Cornwall Abstract Unintentional by-catch in fishing gear is a significant cause of mortality of harbour porpoises in UK waters. Understanding the spatial distribution of harbour porpoises at fine scales and how this changes over time is essential when trying to understand where these lethal interactions might occur. LÄS MER

  5. 4. Reinforcement learning for train dispatching : A study on the possibility to use reinforcement learning to optimize train ordering and minimize train delays in disrupted situations, inside the r ail simulator OSRD

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

    Författare :Teodora Popescu; [2022]
    Nyckelord :;

    Sammanfattning : Train dispatching is a complex process, especially when the train traffic is disrupted, as the decisions taken by the dispatchers can have substantial consequences on the delays of the trains. The most frequent dispatching decisions consists in changing the order of trains at convergence points, where two tracks unite to become a single track. LÄS MER

  7. 5. Incorporating Metadata Into the Active Learning Cycle for 2D Object Detection

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

    Författare :Karsten Stadler; [2021]
    Nyckelord :Active learning; Deep Learning; Object detection; Metadata; Nuscenes Nuimages; Gaussian mixture model; Rejection sampling; Monte-Carlo methods; Aktiv Inlärning; Djupinlärning; Objektdetektering; metadata; Nuscenes Nuimages; Gaussisk blandingsmodell; Rejection sampling; Monte-Carlo metoder;

    Sammanfattning : In the past years, Deep Convolutional Neural Networks have proven to be very useful for 2D Object Detection in many applications. These types of networks require large amounts of labeled data, which can be increasingly costly for companies deploying these detectors in practice if the data quality is lacking. LÄS MER