Essays about: "Model Parameter Estimation"
Showing result 16 - 20 of 217 essays containing the words Model Parameter Estimation.
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16. Adaptive Rolling Radius Estimation
University essay from Linköpings universitet/FordonssystemAbstract : Tire tread health is essential for safe operation of a passenger vehicle. Worn out tires significantly increases the risk of traffic accidents and hydroplaning. This thesis investigates the possibility to detect tire tread wear by estimating the effective rolling radius of a tire. READ MORE
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17. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. READ MORE
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18. Copula approach to fitting bivariate time series
University essay from Lunds universitet/Matematisk statistikAbstract : We apply the GARCH-copula method to estimate Value at Risk (VaR) for European and Stockholm stock indices. First, marginal distributions are estimated by the ARMA-GARCH model with normal, Student-t, and skewed t distributions. READ MORE
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19. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets
University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utvecklingAbstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity. Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE
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20. Physics-Enhanced Machine Learning for Energy Systems
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Building operations account for a large amount of energy usage and the HVAC (Heating, Ventilation and Air Conditioning) systems are the largest consumer of energy in this sector. To reduce this demand, more energy-efficient control algorithms are implemented and a popular choice for a controller is the model predictive control. READ MORE