Essays about: "semantic network analysis"
Showing result 21 - 25 of 33 essays containing the words semantic network analysis.
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21. Risk Mitigation for Human-Robot Collaboration Using Artificial Intelligence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In human-robot collaborative (HRC) scenarios where humans and robots work together sharing the same workspace, there is a risk of potential hazard that may occur. In this work, an AI-based risk analysis solution has been developed to identify any condition that may harm a robot and its environment. READ MORE
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22. The Danish Labor Movement’s Mobilization on Twitter during the Collective Bargaining in 2018
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : This thesis explores the Danish labor movement’s use of Twitter during the collective bargaining in spring 2018 from a mobilisation perspective. This is done to investigate 1) the form of contentious politics practiced by the Danish labor movement, and 2) the role of trade unions in the Danish labor movement. READ MORE
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23. Semantic Segmentation of Iron Ore Pellets with Neural Networks
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This master’s thesis evaluates five existing Convolutional Neural Network (CNN) models for semantic segmentation of optical microscopy images of iron ore pellets. The models are PSPNet, FC-DenseNet, DeepLabv3+, BiSeNet and GCN. READ MORE
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24. Semantic Segmentation of Historical Document Images Using Recurrent Neural Networks
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background. This thesis focuses on the task of historical document semantic segmentation with recurrent neural networks. Document semantic segmentation involves the segmentation of a page into different meaningful regions and is an important prerequisite step of automated document analysis and digitisation with optical character recognition. READ MORE
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25. A Framework for Using Deep Learning to Detect Software Vulnerabilities
University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska fakultetenAbstract : In recent years, with the rise of Internet technology, software vulnerabilities have also flooded, making the software security of enterprises or individuals seriously threatened. Although it is difficult to avoid the occurrence of software vulnerabilities in the process of software development, it is also a way to find and modify the vulnerabilities as early as possible. READ MORE