Essays about: "filter networks"

Showing result 6 - 10 of 117 essays containing the words filter networks.

  1. 6. The effect of model calibration on noisy label detection

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

    Author : Max Joel Söderberg; [2023]
    Keywords : Area Under the Margin; Calibration; Image classification; Label smoothing; Noisy labels; Overconfidence; Area under marginalen; Kalibrering; Bildklassificering; Etikettutjämning; Brusiga etiketter; Övertro;

    Abstract : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. READ MORE

  2. 7. Development of a Rule Based Decision Support System for Pilots : Using Network Analysis, Label Propagation and Association Rule Mining

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Joel Henneberg; [2023]
    Keywords : ;

    Abstract : Maneuvering a fighter jet is not easy, and new methods for minimizing the risk of pilots experiencing information overload are constantly under development. Saab is currently looking into the possibilities of creating a decision support system (DSS) for pilots in situations where multiple independent system failures occur simultaneously. READ MORE

  3. 8. 3D Estimation of Joints for Motion Analysis in Sports Medicine : A study examining the possibility for monocular 3D estimation to be used as motion analysis for applications within sports with the goal to prevent injury and improve sport specific motion

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

    Author : Axel Persson; [2023]
    Keywords : ;

    Abstract : 3D joint estimation can be used to track bodies in areas such as entertainment, sports, biomedicine and surveillance to identify bodies from video streams and images. This is most commonly done with multi-view solutions but researchers are currently spending a large amount of resources into developing mono-view solutions. READ MORE

  4. 9. Fog detection using an artificial neural network

    University essay from Lunds universitet/Matematisk statistik

    Author : Quanwei Li; Tiancheng Ma; [2023]
    Keywords : Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

    Abstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE

  5. 10. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Author : Isabella Luppi; [2023]
    Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE