Search for dissertations about: "anomaly detection"
Showing result 21 - 25 of 80 swedish dissertations containing the words anomaly detection.
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21. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users
Abstract : 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. READ MORE
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22. Generalisation and reliability of deep learning for digital pathology in a clinical setting
Abstract : 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. READ MORE
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23. Self-Monitoring using Joint Human-Machine Learning : Algorithms and Applications
Abstract : The ability to diagnose deviations and predict faults effectively is an important task in various industrial domains for minimizing costs and productivity loss and also conserving environmental resources. However, the majority of the efforts for diagnostics are still carried out by human experts in a time-consuming and expensive manner. READ MORE
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24. Towards Optimization of Anomaly Detection Using Autonomous Monitors in DevOps
Abstract : Continuous practices including continuous integration, continuous testing, and continuous deployment are foundations of many software development initiatives. Another very popular industrial concept, DevOps, promotes automation, collaboration, and monitoring, to even more empower development processes. READ MORE
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25. From Condition Monitoring to Maintenance Management in Electric Power System Generation with focus on Wind Turbines
Abstract : With increase in the number of sensors installed on sub-assemblies of industrial components, the amount of data collected is rapidly increasing. These data hold information in the areas of operation of the system and evolution of health condition of the components. READ MORE