Essays about: "Process domains"
Showing result 21 - 25 of 214 essays containing the words Process domains.
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21. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. READ MORE
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22. Reaching Higher I4.0 Maturity in Lean-Driven Manufacturing Systems : A case study on the influencing factors in the selection and implementation of I4.0 technologies
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The new Industry 4.0 technologies have the potential to increase the operational performance of lean-driven manufacturing organizations, however, there is a lack of guidance on how to select and implement Industry 4.0 technologies which often leads to digital waste. READ MORE
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23. Augmented Reality and Remote Interaction with Military Unmanned Ground Vehicles
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Interaction with unmanned ground vehicles have traditionally been done through a lap-top based system. New technology is on the rise which can provide new benefits to operating soldiers, with superimposed information and a more lightweight control unit, namely augmented reality. READ MORE
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24. Detection of Vulnerability Scanning Attacks using Machine Learning : Application Layer Intrusion Detection and Prevention by Combining Machine Learning and AppSensor Concepts
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : It is well-established that machine learning techniques have been used with great success in other domains and has been leveraged to deal with sources of evolving abuse, such as spam. This study aims to determine whether machine learning techniques can be used to create a model that detects vulnerability scanning attacks using proprietary real-world data collected from tCell, a web application firewall. READ MORE
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25. Methods for data and user efficient annotation for multi-label topic classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine Learning models trained using supervised learning can achieve great results when a sufficient amount of labeled data is used. However, the annotation process is a costly and time-consuming task. There are many methods devised to make the annotation pipeline more user and data efficient. READ MORE