Essays about: "Xiong Xiong"
Showing result 1 - 5 of 23 essays containing the words Xiong Xiong.
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1. Living Forms
University essay from Lunds universitet/IndustridesignAbstract : This project is about imagining new ways we live at home, and new objects to take place. The project is based on personal interests, short case studies, and observation on current human conditions. READ MORE
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2. Telecom Fraud Detection Using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. READ MORE
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3. Player consumption psychology : Constructing user profiles for game developers
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Free-to-play gamers' spending habits are crucial for game developers to generate revenue in games. The unique thing about free-to-play business model games is that players don't have to pay to play the game, but need to make in-game purchases if they want a better gaming experience. READ MORE
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4. Radar Detection Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE
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5. An input-sample method for zonotopic obstacle avoidance with discrete-time control barrier functions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, we consider the motion planning problem for an autonomous vehicle in an obstacle-cluttered environment approximated by zonotopes, and we propose an input sampling algorithm leveraging discrete-time control barrier function conditions (DCBF). Specifically, an optimization-based control barrier function that takes into account the geometric shapes of the vehicle and obstacles is constructed and verified. READ MORE