Sökning: "permutation"

Visar resultat 6 - 10 av 60 uppsatser innehållade ordet permutation.

  1. 6. Bordtennis — Kopplingen mellan upplevda och fysiska egenskaper

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Molly Wörman; Ellen Waara Ankarstrand; [2023]
    Nyckelord :Maskininlärning Programmering SkLearn Bordtennis Frekvenssvar Modalanalys;

    Sammanfattning : I samarbete med STIGA Sports AB undersöker den här rapporten stommar hos bordtennisracketar och sambandet mellan den subjektiva upplevelsen av snabbhet och deras egenskaper. Undersökningen fokuserar på de fysiska egenskaperna, tjocklek och vikt, skillnaden i produktion, form, handtagssort, limsort och lack, samt uppmätta frekvenssvar. LÄS MER

  3. 7. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning

    Master-uppsats, KTH/Matematisk statistik

    Författare :Hannes Andersson; John Sjöberg; [2023]
    Nyckelord :Supply chain disruption; SMOTE; feature engineering; machine learning; random forest; statistics; applied mathematics; Störning i försörjningskedja; maskininlärning; matematik; statistik;

    Sammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER

  4. 8. Estimating Brain Maturation in Very Preterm Neonates : An Explainable Machine Learning Approach

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Patrik Svensson; [2023]
    Nyckelord :Preterm Neonates; Brain Maturation; aEEG; Explainable Machine Learning; Feature Importance;

    Sammanfattning : Introduction: Assessing brain maturation in preterm neonates is essential for the health of the neonates. Machine learning methods have been introduced as a prospective assessment tool for neonatal electroencephalogram(EEG) signals. LÄS MER

  5. 9. Evaluating Marketing Initiatives using Explainable Machine Learning : An Alternative to Attribution Models

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

    Författare :João Ferreira; [2023]
    Nyckelord :Explainable Machine Learning; Attribution models; Marketing Automation; Search Engine Optimization; A B testing; Definierad maskininlärning; Attributionsmodeller; Automatisering av marknadsföring; Optimering av sökmotor; A B-tester;

    Sammanfattning : Since its inception, Marketing has always needed more clearly defined incrementality, i.e., a measurement of advertisement effectiveness. Nowadays, Marketing is an evergrowing business; within it, Digital Marketing is taking the spotlight. LÄS MER

  7. 10. A Side-Channel Attack on Masked and Shuffled Implementations of M-LWE and M-LWR Cryptography : A case study of Kyber and Saber

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

    Författare :Linus Backlund; [2023]
    Nyckelord :Public-key Cryptography; Post-Quantum Cryptography; Kyber; Saber; Side-Channel Attack; Power Analysis; Asymetrisk Kryptering; Kvantsäker Kryptografi; Kyber; Saber; Sidokanalsattack; Effektanalys;

    Sammanfattning : In response to the threat of a future, large-scale, quantum computer, the American National Institute of Standards and Technology (NIST) initiated a competition for designs of quantum-resistant cryptographic primitives. In 2022, the lattice-based Module-Learning With Errors (M-LWE) scheme Kyber emerged as the winner to be standardized. LÄS MER