Sökning: "network enabled cloud"
Visar resultat 1 - 5 av 15 uppsatser innehållade orden network enabled cloud.
1. AI Enabled Cloud RAN Test Automation : Automatic Test Case Prediction Using Natural Language Processing and Machine Learning Techniques
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Cloud Radio Access Network (RAN) is a technology used in the telecommunications industry. It provides a flexible, scalable, and costeffective solution for managing and delivering seamless wireless network services. LÄS MER
2. Test Case Selection from Test Specifications using Natural Language Processing
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : The Cloud Radio Access Network (RAN) is a groundbreaking technology employed in the telecommunications industry, offering flexible, scalable, and cost-effective solutions for seamless wireless network services. However, testing Cloud RAN applications presents significant challenges due to their complexity, potentially leading to delays and increased costs. LÄS MER
3. Security analysis of a modern smart camera
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : IoT devices have historically lacked in the security standards but at the same time it is a continuously growing market it is important that the security analyzes continue in order to evaluate the development of the security in the IoT industry. This research is a security analysis of the Deltaco SH-IPC05 WIFI Camera, it is an inexpensive device that can be accessed through a mobile application from anywhere on the internet via the cloud. LÄS MER
4. Semantic Segmentation of Iron Ore Pellets in the Cloud
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This master's thesis evaluates data annotation, semantic segmentation and Docker for use in AWS. The data provided has to be annotated and is to be used as a dataset for the creation of a neural network. Different neural network models are then to be compared based on performance. LÄS MER
5. Moving Target Classification with Radar Point-Clouds and Supervised Contrastive Learning
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis deals with radar data for the purpose of moving target classification in the context of surveillance. The radar data in question comes in the form of point-clouds represented as frame-wise histograms with several channels and we seek to improve upon an existing cross-entropy based deep learning classifier using supervised contrastive loss. LÄS MER