Essays about: "Detection rule"
Showing result 16 - 20 of 51 essays containing the words Detection rule.
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16. Training a computer vision model using semi-supervised learning and applying post-training quantizations
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Electrical scooters have gained a lot of attention and popularity among commuters all around the world since they entered the market. After all, electrical scooters have shown to be efficient and cost-effective mode of transportation for commuters and travelers. READ MORE
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17. Artificial Intelligence and Corporate Social Responsibility in the Online Gambling Industry
University essay from Göteborgs universitet/Graduate SchoolAbstract : Background: Digital technology and the Internet have created the preconditions for the development of online gambling. Gamblers can play or bet online whenever they want and wherever they are. Gambling should be entertaining, allowing players to keep it in balance with other activities in their lives. READ MORE
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18. A Performance Analysis of Intrusion Detection with Snort and Security Information Management
University essay from Linköpings universitet/Databas och informationsteknikAbstract : Network intrusion detection systems (NIDSs) are a major component in cybersecurity and can be implemented with open-source software. Active communities and researchers continue to improve projects and rulesets used for detecting threats to keep up with the rapid development of the internet. READ MORE
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19. Natural Language Processing techniques for feedback on text improvement : A qualitative study on press releases
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Press releases play a key role in today’s news production by being public statements of newsworthy content that function as a pre-formulation of news. Press releases originate from a wide range of actors, and a common goal is for them to reach a high societal impact. READ MORE
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20. Money Laundering Detection using Tree Boosting and Graph Learning Algorithms
University essay from KTH/Matematisk statistikAbstract : In this masters thesis we focused on using machine learning methods for detecting money laundering in financial transaction networks, in order to demonstrate that it can be used as a complement or instead of the more commonly used rule based systems. The graph learning method graph convolutional networks (GCN) has been a hot topic in the field since they were shown to scale well with data size back in 2018. READ MORE