Sökning: "Automated Feature Extraction"
Visar resultat 6 - 10 av 32 uppsatser innehållade orden Automated Feature Extraction.
6. Paletto: An Interactive Colour Palette Generator : Facilitating Designers’ Colour Selection Processes
Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Digital growth and the adaption of internet-based solutions, particularly artificial intelligence and machine learning, have dramatically changed the way design is done today. This rapid change in technology has challenged the level of automation, which influences the human-automation interactions with the available colour-design tools (academic and commercial). LÄS MER
7. OBJECT DETECTION USING DEEP LEARNING ON METAL CHIPS IN MANUFACTURING
Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : Designing cutting tools for the turning industry, providing optimal cutting parameters is of importance for both the client, and for the company's own research. By examining the metal chips that form in the turning process, operators can recommend optimal cutting parameters. LÄS MER
8. High-definition map creation and update for autonomous driving
Master-uppsats, KTH/GeoinformatikSammanfattning : Autonomous driving technology is now evolving at an unprecedented speed. HD maps, which are embedded with highly precise and detailed road spatial and object information, play an important role in supporting autonomous vehicles. LÄS MER
9. Social Media Bot Detection
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Social media platforms have revolutionized how people interact with each other and how people gain information. However, social media platforms such as Twitter and Facebook quickly became the platform for public manipulation and spreading or amplifying political or ideological misinformation. LÄS MER
10. Time Series Active Learning using Automated Feature Extraction
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Time series classification is a prevalent problem for sensor data in an industrial setting. The ability to classify time series correctly allows for predictive maintenance which is the process of optimally maintaining assets and ensuring minimal ”down-time” of machines or processes. LÄS MER