Essays about: "whole network structure"
Showing result 1 - 5 of 37 essays containing the words whole network structure.
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1. Developing an Automated Drivability Index for Swedish Roadways
University essay from KTH/TransportplaneringAbstract : The masters thesis aims to determine a method to understand which road segments could pose safety risks or where Level 4 autonomous vehicles would operate poorly in the Swedish road context. This vehicle’s ability to operate adequately can be defined as ‘drivable’. READ MORE
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2. EVALUATING PERFORMANCE OF GENERATIVE MODELS FOR TIME SERIES SYNTHESIS
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation behind this work is to address the limitations of existing generative models in accurately capturing the underlying structure and patterns of time series data, especially when dealing with categorical features. READ MORE
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3. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : 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
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4. Load Distribution in the Open Radio Access Network
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : As 5G and O-RAN become more widely used, the number of user equipment requesting access to the network will increase. This will require operators to expand their 5G solutions by purchasing more hardware to handle the increase in demand. The acquisition of new hardware will have both an economic and an environmental impact. READ MORE
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5. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. READ MORE
