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Visar resultat 1 - 5 av 135 uppsatser som matchar ovanstående sökkriterier.
1. Detecting flight patterns using deep learning
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. LÄS MER
2. Assessing the threat of Stingrays in 4G cellular networks
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This bachelor thesis explores the threat of Stingrays, fake cell towers, to the mobile network. The increasing availability of open-source technology and hardware has made it easier to build Stingrays. LÄS MER
3. Infrared and Visible Image Fusion with an Unsupervised Network
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Image fusion is a technique that aims to combine semantic information from different source images into a new synthesized image that contains information from both source images. It is a technique that can be useful in many different areas, such as reconnaissance, surveillance and medical diagnostics. LÄS MER
4. “Do I Post This or Not?” LGBTQ+ Youth Experiences of Social Media Under Parental Surveillance
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : As social media has become more entwined with society, parents are facing fears around how their children use them, and who they connect with. As a result, some resort to parental control technologies that enable them to surveil their children’s online activities. LÄS MER
5. Fog detection using an artificial neural network
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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. LÄS MER