Essays about: "ensemble"
Showing result 21 - 25 of 298 essays containing the word ensemble.
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21. Finding Causal Relationships Among Metrics In A Cloud-Native Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. READ MORE
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22. Rogue Drone Detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Rogue drones have become a significant concern in recent years due to their potential to cause harm to people and property and disrupt critical infrastructure and public safety. As a result, there has been a growing need for effective methods to detect and mitigate the risks posed by these drones. READ MORE
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23. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure
University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesiAbstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE
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24. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE
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25. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. READ MORE