Essays about: "Djupinlärning"

Showing result 1 - 5 of 272 essays containing the word Djupinlärning.

  1. 1. Deep Ring Artifact Reduction in Photon-Counting CT

    University essay from KTH/Fysik

    Author : Konstantinos Liappis; [2022]
    Keywords : Photon¬counting; Spectral CT; Material Decomposition; Deep learning; Resnet; Ring artifact; Sinogram; Fotonräknande; Spektral datortomografi; Materialdekomposition; Djupinlärning; Resnet; Ringartefakt; Sinogram;

    Abstract : Ring artifacts are a common problem with the use of photon-counting detectors and commercial deployment rests on being able to compensate for them. Deep learning has been proposed as a candidate for tackling the inefficiency or high cost of traditional techniques. READ MORE

  2. 2. A deep learning based side-channel analysis of an FPGA implementation of Saber

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

    Author : Yanning Ji; [2022]
    Keywords : Side-Channel Attack; Deep Learning; Post-quantum Cryptography; Sidokanalsattack; djupinlärning; postkvantkryptering;

    Abstract : In 2016, NIST started a post quantum cryptography (PQC) standardization project in response to the rapid development of quantum algorithms which break many public-key cryptographic schemes. As the project nears its end, it is necessary to assess the resistance of its finalists to side-channel attacks. READ MORE

  3. 3. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

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

    Author : Gustav Röhss; [2022]
    Keywords : ;

    Abstract : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. READ MORE

  4. 4. Semi-Supervised Plant Leaf Detection and Stress Recognition

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

    Author : Márk Antal Csizmadia; [2022]
    Keywords : Deep Learning; Object Detection; Semi-Supervised Learning; Semi-Supervised Object Detection; Computer Vision; Djupinlärning; Objektdetektering; Semi-övervakad inlärning; Semi-övervakad objektdetektering; datorseende;

    Abstract : One of the main limitations of training deep learning-based object detection models is the availability of large amounts of data annotations. When annotations are scarce, semi-supervised learning provides frameworks to improve object detection performance by utilising unlabelled data. READ MORE

  5. 5. Object Detection via Contextual Information

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Lovisa Stålebrink; [2022]
    Keywords : computer vision; machine learning; object detection; deep learning; contextual information; transformers; document object detection; datorseende; maskininlärning; objektdetektion; djupinlärning; kontextuell information; transformer; detektering av dokumentobjekt;

    Abstract : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. READ MORE