Sökning: "dictionary learning"

Visar resultat 6 - 10 av 44 uppsatser innehållade orden dictionary learning.

  1. 6. The trends in the offline password-guessing field : Offline guessing attack on Swedish real-life passwords

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Yasser Zarzour; Mohamad Alchtiwi; [2023]
    Nyckelord :Password security; password-guessing tool; password-guessing method; password-guessing technique; offline attack; Swedish password leak; Lösenordssäkerhet; lösenordsgissningsverktyg; lösenordsgissningsmetoder; lösenordsgissningstekniker; offline attack; svenska lösenordsläckor;

    Sammanfattning : Password security is one of the most critical aspects of IT security, as password-based authentication is still the primary authentication method. Unfortunately, our passwords are subject to different types of weaknesses and various types of password-guessing attacks. LÄS MER

  3. 7. Automated Metadata Extraction for Job Advertisements

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Evelina Strauss; Usama Safdar; [2022-06-20]
    Nyckelord :Machine learning; NLP; text classification; computer; science; computer science; project; thesis;

    Sammanfattning : This thesis is written in collaboration with the Swedish Public Employment Service and aims to investigate methods and techniques to automatically extract metadata from unstructured texts. The Swedish Public Employment Service collect job ads from different private job boards and these ads consist of a title and description and are thus of an unstructured format. LÄS MER

  4. 8. Detecting Dissimilarity in Discourse on Social Media

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionen

    Författare :Mattias Mineur; [2022]
    Nyckelord :Natural Language Processing;

    Sammanfattning : A lot of interaction between humans take place on social media. Groups and communities are sometimes formed both with and without intention. These interactions generate a large quantity of text data. This project aims to detect dissimilarity in discourse between communities on social media using a distributed approach. LÄS MER

  5. 9. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

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

    Författare :Matteo Ferrini; [2022]
    Nyckelord :5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

    Sammanfattning : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. LÄS MER

  7. 10. Text Steganalysis based on Convolutional Neural Networks

    Kandidat-uppsats, Blekinge Tekniska Högskola

    Författare :Tejasvi Akula; Varshitha Pamisetty; [2022]
    Nyckelord :CNN; text steganalysis; Deep Learning; Decision Strategy;

    Sammanfattning : The CNN-based steganalysis model is able to capture some complex statistical dependencies and also learn feature representations. The proposed model uses a word embedding layer to map the words into dense vectors thus, achieving more accurate representations of the words. The proposed model extracts both, the syntax and semantic features. LÄS MER