Essays about: "Lightning Network"
Showing result 1 - 5 of 19 essays containing the words Lightning Network.
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1. Event-Based Visual SLAM : An Explorative Approach
University essay from Uppsala universitet/Signaler och systemAbstract : Simultaneous Localization And Mapping (SLAM) is an important topic within the field of roboticsaiming to localize an agent in a unknown or partially known environment while simultaneouslymapping the environment. The ability to perform robust SLAM is especially important inhazardous environments such as natural disasters, firefighting and space exploration wherehuman exploration may be too dangerous or impractical. READ MORE
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2. Evaluating Incremental Machine Learning for Smart Home Adaptation with Embedded Systems
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : The combination of machine learning on embedded systems has quickly increased throughout the years. Subsets like TinyML have become an integral part of how embedded systems implement machine learning. The field has evolved quickly, and TinyOL is an emerging subset that redefines what is possible with embedded systems. READ MORE
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3. The Impact of Demand Patterns and Pathfinding Strategies on Payment Channel Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Payment Channel Networks (PCNs) provide a solution to the scalability problem in blockchain technology. They facilitate multiple-hop transactions via payment channels between peers, allowing for the execution of several transactions before updating each node’s balance on the blockchain. READ MORE
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4. Industrial Symbiosis of Vertical Hydroponic Farming System at SweGreen
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : The United Nations projects that by the year 2050, there will be as many as 9.7 billion people on earth (UN, 2019). Along with the world population growth, the demand for food production will be increased. On the other side, agriculture plays a crucial role in global warming, increasing food production challenges. READ MORE
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5. Generating Synthetic Data for Evaluation and Improvement of Deep 6D Pose Estimation
University essay from Linköpings universitet/DatorseendeAbstract : The task of 6D pose estimation with deep learning is to train networks to, from an im-age of an object, determine the rotation and translation of the object. Impressive resultshave recently been shown in deep learning based 6D pose estimation. READ MORE