Essays about: "Bildklassificering"

Showing result 16 - 20 of 49 essays containing the word Bildklassificering.

1. 16. Deep Multiple Description Coding for Semantic Communication : Theory and Practice

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

   Author : Martin Lindström; [2022]
   Keywords : Deep Learning; Split Computing; Multiple Description Coding; Semantic Communication; Internet of Things; Image Classification; Djupinlärning; distribuerade beräkningar; distribuerad kodning; semantisk kommunikation; sakernas internet; Internet of Things; bildklassificering;

   Abstract : With the era of wirelessly connected Internet of Things (IoT) devices on the horizon, eective data processing algorithms for IoT devices are of increasing importance. IoT devices often have limited power and computational resources, making data processing on the device unfeasible. READ MORE

3. 17. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure

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

   Author : Anton Lu; [2022]
   Keywords : Rail Defect Detection; Rail Image Classification; Rail Joints; Object Detection; Image Classification; Deep Learning; Järnvägsfeldetektering; Järnvägsbildigenkänning; Järnvägsskarvar; Objectigenkänning; Bildklassificering; Djupinlärning;

   Abstract : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. READ MORE

4. 18. Operational data extraction using visual perception

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

   Author : Nagarajan Shunmugam; [2021]
   Keywords : Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

   Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE

5. 19. Evaluating Hybrid Neural Network Approaches to Multimodal Web Page Classification Based on Textual and Visual Features

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

   Author : Anton Ivarsson; [2021]
   Keywords : Web Page Classification; Natural Language Processing; Computer Vision; Text Classification; Image Classification; Weighted Average of Outputs; Webbsideklassificering; Behandling Av Naturliga Språk; Datorseende; Textklassificering; Bildklassificering; Viktat Genomsnitt Av Resultat;

   Abstract : Given the explosive growth of web pages on the Internet in the last decade, automatic classification and categorization of web pages have grown into an important task. This thesis sets out to evaluate whether or not methods for text and image analysis, which had not been evaluated for web page classification, could improve on the state-of-the-art methods in web page classification. READ MORE

6. 20. Comparing decentralized learning to Federated Learning when training Deep Neural Networks under churn

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

   Author : Johan Vikström; [2021]
   Keywords : Peer- to- Peer; Decentralized Machine Learning; Federated Learning; Gossip Learning; Long Short- Term Memory; Convolutional Neural Network; Peer- to- peer; Decentraliserad Maskininlärning; Federated learning; Gossip learning; Lång korttidsminne;

   Abstract : Decentralized Machine Learning could address some problematic facets with Federated Learning. There is no central server acting as an arbiter of whom or what may benefit from Machine Learning models created by the vast amount of data becoming available in recent years. READ MORE