Sökning: "train detection"

Visar resultat 21 - 25 av 189 uppsatser innehållade orden train detection.

  1. 21. AI for Cybersecurity : A Study on Machine Learning and DoS Attacks AI Robustness and Bypassing Detection Methods

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Molin Matti; Böhme Fredrik; [2023]
    Nyckelord :AI; Cybersecurity; Machine learning; DoS; Poisoning; AI; Cybersäkerhet; Maskininlärning; DoS; Poisoning;

    Sammanfattning : Cybercrime has increased for several years; both in volume andsophistication. When the capabilities of threat actors increase, techniques andtactics within cybersecurity also need to evolve. AI and machine learninghave potential to prevent and mitigate attacks. LÄS MER

  3. 22. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection

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

    Författare :Erik Zetterström; [2023]
    Nyckelord :Neural networks; Deep learning; Convolutional neural networks; Transfer learning; Domain adaptation; Unsupervised training; Adversarial training; Keypoint detection; Regression; Neurala nätverk; Djupinlärning; Faltningsnätverk; Överförningsinlärning; Domänadaptering; Oövervakad inlärning; Motstående träning; Nyckelpunktsdetektion; Regression;

    Sammanfattning : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. LÄS MER

  4. 23. Deep Learning Based Out-of-focus Detection on Surveillance Footage

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Hanna Bengtsson; Teodora Kerac; [2023]
    Nyckelord :Deep Learning; CNN; Out-of-focus detection; Mathematics and Statistics;

    Sammanfattning : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. LÄS MER

  5. 24. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot

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

    Författare :Mattias Hansson; [2023]
    Nyckelord :Unsupervised Domain Adaptation; 3D Object Detection; Mobile Robotics; Adversarial Adaptation; Computer Vision; Oövervakad Domänanpassning; 3D Objektigenkänning; Mobila Robotar; Motspelaranpassning; Datorseende;

    Sammanfattning : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. LÄS MER

  7. 25. Learning Based Road Estimation

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sanna Amirijoo; Karl Niwong; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. LÄS MER