Sökning: "Performance anomaly detection"
Visar resultat 11 - 15 av 38 avhandlingar innehållade orden Performance anomaly detection.
11. On a learning system for industrial automation : Model-based control and diagnostics for decision support
Sammanfattning : Access to energy is fundamental to economic and technological advancement. Hence, the more the world develops, the greater the demand for energy becomes. Evidently, the production and consumption of energy alone account for more than 80% of global anthropogenic greenhouse gas (GHG) emissions. LÄS MER
12. Onboard condition monitoring of vehicle-track dynamic interaction using machine learning : Enabling the railway industry’s digital transformation
Sammanfattning : The railway sector’s reliability, availability, maintainability, and safety (RAMS) can significantly improve by adopting condition based maintenance (CBM). In the CBM regime, maintenance decisions are driven by condition monitoring (CM) of the asset. LÄS MER
13. Generalisation and reliability of deep learning for digital pathology in a clinical setting
Sammanfattning : Deep learning (DL) is a subfield of artificial intelligence (AI) focused on developing algorithms that learn from data to perform some tasks that can aid humans in their daily life or work assignments. Research demonstrates the potential of DL in supporting pathologists with routine tasks like detecting breast cancer metastases and grading prostate cancer. LÄS MER
14. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users
Sammanfattning : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. LÄS MER
15. Machine learning-based diagnostics and observability in mobile networks
Sammanfattning : To meet the high-performance and reliability demands of 5G, the Radio Access Network (RAN) is moving to a cloud-native architecture. The new microservice architecture promises increased operational efficiency and a shorter time-to-market, but it also comes with a price. LÄS MER