Essays about: "loss functions"

Showing result 16 - 20 of 171 essays containing the words loss functions.

  1. 16. Evaluation of Computer Tomography based Cancer Diagnostics with the help of 3D Printed Phantoms and Deep Learning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Alex Back; Pontus Pandurevic; [2023]
    Keywords : Machine Learning; Deep Learning; Convolutional Neural Networks; Perception Loss; CNN; DL; ML; Computer Tomography; CT; Cancer Diagnostics; Evaluation of Image Reconstruction; Radiomics; Tumors; 3D Printed Phantoms; 3D Printing; PLA;

    Abstract : Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. READ MORE

  3. 17. GIS-based planning support tools for biodiversity in Stockholm municipality : Targeting connectivity of potential oak habitat

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Jenny Forsberg; [2023]
    Keywords : Southern Hardwood Deciduous trees; Ädellöv; Coleoptera; Spatial Data; Linkage Mapper; ArcMap; Connectivity; Network; Sweden;

    Abstract : Due to biodiversity loss being large as well as threatening ecosystem functions necessary for oursociety, the UN and EU have created regulations, strategies, and targets to improve biodiversity.Nationally in Sweden, and locally in Stockholm municipality, actions have also been taken. READ MORE

  4. 18. Latency Prediction in 5G Networks by using Machine Learning

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Erica Elgcrona; Evrim Mete; [2023]
    Keywords : Technology and Engineering;

    Abstract : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. READ MORE

  5. 19. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

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

    Author : Jin Wanqi; [2023]
    Keywords : Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

    Abstract : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. READ MORE

  6. 20. Extremal Mechanisms for Pointwise Maximal Leakage

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

    Author : Leonhard Grosse; [2023]
    Keywords : Privacy; mechanism design; information leakage; convex optimization; information-theoretic utility; Integritet; Mekanismdesign; informationsläckage; konvex optimering; informationsteoretisk användbarhet.;

    Abstract : In order to implement privacy preservation for individuals, systems need to utilize privacy mechanisms that privatize sensitive data by randomization. The goal of privacy mechanism design is to find optimal tradeoffs between maximizing the utility of the privatized data while providing a strict sense of privacy defined by a chosen privacy measure. READ MORE