Sökning: "vector"

Visar resultat 21 - 25 av 1735 uppsatser innehållade ordet vector.

  1. 21. Recognizing and Defending Against Phishing Attacks in Large Organizations

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

    Författare :Matay Mayrany; [2023]
    Nyckelord :Security; Email; Phishing; Social Engineering; Educational Training Programs; Säkerhet; e-post; nätfiske; social teknik; utbildningsprogram;

    Sammanfattning : As technology keeps integrating further into our personal and professional lives, digital security is a growing concern for our individual and public safety. Email phishing is the most common attack vector, often utilized by malicious actors to trick victims into taking irresponsible actions that benefit the attackers. LÄS MER

  3. 22. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  4. 23. Development of a qPCR method for detection and quantification of Ustilago nuda and COX1 gene in Barley seeds

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Umer Shaukat Ali; [2023]
    Nyckelord :;

    Sammanfattning : Barley loose smut caused by the fungal pathogen Ustilago nuda is a global concern with detrimental effects on barley production. Early detection of this infection is vital for effective disease supervision. However, current seed health testing protocols suffer from limitations in terms of time and efficiency. LÄS MER

  5. 24. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding

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

    Författare :Corentin Royer; [2023]
    Nyckelord :Deep Learning; Entity Retrieval; Mixer; Transformer;

    Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER

  7. 25. Randomized Diagonal Estimation

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Niclas Joshua Popp; [2023]
    Nyckelord :Diagonal estimation; randomized numerical linear algebra; low-rank approximation; matrix functions; Diagonalestimering; randomiserad numerisk linjär algebra; lågrankad approximation; matrisfunktioner;

    Sammanfattning : Implicit diagonal estimation is a long-standing problem that is concerned with approximating the diagonal of a matrix that can only be accessed through matrix-vector products. It is of interest in various fields of application, such as network science, material science and machine learning. LÄS MER