Sökning: "Automated Feature Extraction"
Visar resultat 1 - 5 av 27 uppsatser innehållade orden Automated Feature Extraction.
1. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. LÄS MER
2. Time Series Anomaly Detection in Radio Test
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Production tests evaluate products with automated systems enabling swift data collection, while anomaly detection in the gathered data is widely employed in industries for damage prediction and issue prevention. Ericsson, a leader in the telecommunications industry, has a Temperature Quality Test (TQT) platform which involves precise performance measurements on radios, gathering abundant data in both single value and time series formats to evaluate and improve tested products. LÄS MER
3. 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
4. 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
5. 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