Essays about: "Property optimization"
Showing result 1 - 5 of 63 essays containing the words Property optimization.
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1. Robustness Analysis of Perfusion Parameter Calculations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. READ MORE
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2. Deep reinforcement learning for automated building climate control
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. READ MORE
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3. Hydrogen storage systems : Methodology and model development for hydrogen storage systems performance evaluation based on a transient thermodynamic approach
University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknikAbstract : The overall performance of a hydrogen storage system can be affected by various parameters, such as operation and design parameters, but also by the state of the hydrogen contained inside the storage tanks. In this work, a methodology is developed to evaluate the state of the hydrogen during the filling process and its impact on the overall system performance under variable operation conditions and design parameters. READ MORE
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4. Stochastic Frank-Wolfe Algorithm : Uniform Sampling Without Replacement
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The Frank-Wolfe (FW) optimization algorithm, due to its projection free property, has gained popularity in recent years with typical application within the field of machine learning. In the stochastic setting, it is still relatively understudied in comparison to the more expensive projected method of Stochastic Gradient Descent (SGD). READ MORE
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5. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning
University essay from Uppsala universitet/Tillämpad mekanikAbstract : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. READ MORE
