Essays about: "Computer networks thesis"

Showing result 1 - 5 of 145 essays containing the words Computer networks thesis.

  1. 1. Counting Cars and Determining the Vacancy of a Parking Lotusing Neural Networks

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Alexander Holmström; [2018]
    Keywords : ;

    Abstract : A lot of time, energy and money is being wasted when people are trying tond a parking lot. These elements could be reduced if the driver is provided vacancy information of a parking lot beforehand. READ MORE

  2. 2. Camera-Based Friction Estimation with Deep Convolutional Neural Networks

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Arvi Jonnarth; [2018]
    Keywords : Machine Learning; Deep Learning; Statistical Learning; Friction Estimation; Computer Vision; Neural Networks; Convolutional Neural Networks; Digital Image Processing;

    Abstract : During recent years, great progress has been made within the field of deep learning, and more specifically, within neural networks. Deep convolutional neural networks (CNN) have been especially successful within image processing in tasks such as image classification and object detection. READ MORE

  3. 3. Real-time 3D Semantic Segmentation of Timber Loads with Convolutional Neural Networks

    University essay from Linköpings universitet/Datorseende

    Author : Jessica Sällqvist; [2018]
    Keywords : Semantic Segmentation; Pixel-wise classification; Convolutional Neural Networks; Fully Convolutional Networks; Patch-based training.;

    Abstract : Volume measurements of timber loads is done in conjunction with timber trade. When dealing with goods of major economic values such as these, it is important to achieve an impartial and fair assessment when determining price-based volumes. READ MORE

  4. 4. An empirical study on synthetic image generation techniques for object detectors

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

    Author : Claudio Salvatore Arcidiacono; [2018]
    Keywords : Object Detection; Synthetic Dataset; Deep Learning; Rendered Images; Computer Vision; Objektdetektion; Syntetisk datamängd; Djup inlärning; Återgivna bilder; Datorseende;

    Abstract : Convolutional Neural Networks are a very powerful machine learning tool that outperformed other techniques in image recognition tasks. The biggest drawback of this method is the massive amount of training data required, since producing training data for image recognition tasks is very labor intensive. READ MORE

  5. 5. Inflated Multinomial Matching for Anchor-Free Object Detection

    University essay from Lunds universitet/Matematik LTH

    Author : Cesar Hiersemann; [2018]
    Keywords : Computer Vision; Machine Learning; Deep Learning; Convolutional Neural Networks; Object Recognition; Object Detection; Anchors; Anchor Boxes; Mathematics and Statistics;

    Abstract : This thesis presents a novel matching strategy, Inflated Multinomial Matching, which enables training of anchor-free object detection models based on convolutional neural networks. An important aspect of detection models is the integral usage of anchor boxes, where an anchor box is a bounding box with a preset and constant location, size and shape in the image. READ MORE