Essays about: "edge detection thesis"

Showing result 26 - 30 of 80 essays containing the words edge detection thesis.

  1. 26. Precise Detection of People Using Pre-Trained Machine Learning Models With Assisting Heat Sensor Camera

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Viktor Joelsson; Elias Rudberg; [2021]
    Keywords : Technology and Engineering;

    Abstract : The thesis examines the possibility of developing a system that can be used to detect the number of people in a given area with high accuracy. By using a variety of hardware components, publicly available object detection models and a cloud platform a highly modern approach is examined. READ MORE

  3. 27. Anomaly detection for automated security log analysis : Comparison of existing techniques and tools

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Måns Fredriksson Franzén; Nils Tyrén; [2021]
    Keywords : Security; Log analysis; Anomaly detection; Machine learning; Clustering;

    Abstract : Logging security-related events is becoming increasingly important for companies. Log messages can be used for surveillance of a system or to make an assessment of the dam- age caused in the event of, for example, an infringement. READ MORE

  4. 28. Cross-layer optimization for joint visual-inertial localization and object detection on resource-constrained devices

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

    Author : Elisa Baldassari; [2021]
    Keywords : Cross-layer optimization; Resource-constrained edge devices; Concurrent applications; Object detection; Localization; Optimering i flera lager; Resursbegränsade edge-enheter; Samtidiga program; Objektidentifiering; Lokalisering;

    Abstract : The expectations in performing high-performance cyber-physical applications in resource-constrained devices are continuously increasing. The available hardware is still a main limitation in this context, both in terms of computation capability and energy limits. READ MORE

  5. 29. Money Laundering Detection using Tree Boosting and Graph Learning Algorithms

    University essay from KTH/Matematisk statistik

    Author : Rickard Frumerie; [2021]
    Keywords : Tree boosting; XGBoost; graph convolutional networks GCN ; node and edge neural networks NENN ; exploratory data analysis EDA ; anti money laundering AML ; financial graph networks.; Trädalgoritmer; XGBoost; convolutions grafnätverk GCN ; nod och kant neurala nätverk NENN ; utforskande dataanalys; penningtvättsbekämpning AML ; finansiella grafnätverk.;

    Abstract : In this masters thesis we focused on using machine learning methods for detecting money laundering in financial transaction networks, in order to demonstrate that it can be used as a complement or instead of the more commonly used rule based systems. The graph learning method graph convolutional networks (GCN) has been a hot topic in the field since they were shown to scale well with data size back in 2018. READ MORE

  6. 30. Semantic segmentation using convolutional neural networks to facilitate motion tracking of feet : For real-time analysis of perioperative microcirculation images in patients with critical limb thretening ischemia

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Andreas Öberg; Martin Hulterström; [2021]
    Keywords : semantic segmentation; convolutional neural network; critical limb threatening ischemia; ROI tracking; deep learning;

    Abstract : This thesis investigates the use of Convolutional Neural Networks (CNNs) toperform semantic segmentation of feet during endovascular surgery in patientswith Critical Limb Threatening Ischemia (CLTI). It is currently being investigatedwhether objective assessment of perfusion can aid surgeons during endovascularsurgery. READ MORE