Essays about: "Model averaging"
Showing result 6 - 10 of 64 essays containing the words Model averaging.
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6. Open-Circuit-Voltage hysteresis measurement and modelling of LiFePO4 Batteries : Master Thesis Report - 2023
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In a context of an expected increasing use of Lithium-ion batteries in the transportation sector, Volvo AB is developing its own solutions for large electric vehicles. It is then beneficial to reduce the costs, the energy demand and the raw materials demand by improving the battery systems’ performances. READ MORE
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7. Improved Statistical Methods for Elliptic Stochastic Homogenization Problems : Application of Multi Level- and Multi Index Monte Carlo on Elliptic Stochastic Homogenization Problems
University essay from Uppsala universitet/Tillämpad beräkningsvetenskapAbstract : In numerical multiscale methods, one relies on a coupling between macroscopic model and a microscopic model. The macroscopic model does not include the microscopic properties that the microscopic model offers and that are vital for the desired solution. READ MORE
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8. Infrared and Visible Image Fusion with an Unsupervised Network
University essay from Linköpings universitet/DatorseendeAbstract : Image fusion is a technique that aims to combine semantic information from different source images into a new synthesized image that contains information from both source images. It is a technique that can be useful in many different areas, such as reconnaissance, surveillance and medical diagnostics. READ MORE
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9. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Permanent magnet synchronous machines have various advantages and have showed the most superiorperformance for Electric Vehicles. However, modeling them is difficult because of their nonlinearity. READ MORE
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10. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE