Sökning: "mobile computing"
Visar resultat 1 - 5 av 206 uppsatser innehållade orden mobile computing.
1. Usage of End-to-End Machine Learning for Self-Driving Vehicle
M1-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : This thesis is about the usage of a machine learning model for self-driving vehicles running on a small mobile computing unit, in this case, a smartphone. We use NVIDIA’s PilotNet model which is a simple feed-forward machine learning model for steering a vehicle. LÄS MER
2. Comparative Study of the Inference of an Image Quality Assessment Algorithm : Inference Benchmarking of an Image Quality Assessment Algorithm hosted on Cloud Architectures
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : an instance has become exceedingly more time and resource consuming. To solve this issue, cloud computing is being used to train and serve the models. However, there’s a gap in research where these cloud computing platforms have been evaluated for these tasks. LÄS MER
3. The Current State of Augmented Reality Adoption : A look at emerging technology adoption
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Augmented reality (AR) has seen a rise in public and corporate interest in recent years and with Apple's announcement of the Vision Pro headset, it is an exciting time to study the technology. The question on many people's minds is if AR is the computing platform of tomorrow or if it is a fad. LÄS MER
4. Counterfeit product grouping - a cluster ensemble approach
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. LÄS MER
5. Machine Learning-based MIMO Indoor Positioning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER