Essays about: "Racing"
Showing result 1 - 5 of 155 essays containing the word Racing.
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1. Cable Shape Optimization - Drag Reduction of Cables Used in Marine Applications
University essay from KTH/Teknisk mekanikAbstract : It is important to understand the aerodynamic properties of tensioned cables (e.g. used in suspension bridges and yacht riggings), both for drag reduction and vibrational suppression purposes. READ MORE
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2. Mapping of prevalence, diagnostics and treatments of orthopedic injuries in Swedish trotting horses
University essay from SLU/Dept. of Clinical SciencesAbstract : Equine sport is the third largest sport in Sweden with an estimated number of 350,000 horses in the country. Trotting racing is the biggest branch in the Swedish equine industry, around 80,000 out of the horse population are trotting horses. Sweden is ranked to be among the top three leading countries in the world holding trotting races. READ MORE
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3. AI-Based Race StrategyAssistant and Car data Monitor
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In the world of motorsport, it is not only the driver's skill that determines the outcome of a race. Race strategy and car setup are two main factors that determine if the driver is competitive or not. Thus, this project focuses on optimizing the strategy part. READ MORE
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4. Impact on player action based on the correlation between environmental game sounds and arousal level
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleAbstract : This study investigates the relationship between environmental game sounds and arousal level, looking to see if/how it affects player action. Previous research has shown that music evoking different levels of arousal affect player lap time performance of a racing game. READ MORE
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5. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE