Essays about: "image fusion"
Showing result 21 - 25 of 71 essays containing the words image fusion.
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21. Improvement and Development of Powder Spreadability Testing
University essay from KTH/MaterialvetenskapAbstract : With rising interest in metal additive manufacturing and, specifically, in powder bed fusion processes, it is essential to understand relevant process parameters and the behavior of powders used in such processes. At the time of writing, the flow behavior of powders is in the spotlight whereas little research into the spreadability of a powder is being conducted. READ MORE
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22. Explainable Multimodal Fusion
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recently, there has been a lot of interest in explainable predictions, with new explainability approaches being created for specific data modalities like images and text. However, there is a dearth of understanding and minimal exploration in terms of explainability in the multimodal machine learning domain, where diverse data modalities are fused together in the model. READ MORE
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23. Automotive Radar For Localization In GNSS- Denied Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Precise and robust automotive localization is a must for autonomous vehicles. Radar is a cheap and robust sensor, and this project aimed to find a method to use automotive radar to localize globally. READ MORE
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24. ARMAS: Active Reconstruction of Missing Audio Segments
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Audio signal reconstruction using machine/deep learning algorithms has been explored much more in the recent years, and it has many applications in digital signal processing. There are many research works on audio reconstruction with linear interpolation, phase coding, tone insertion techniques combined with AI models. READ MORE
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25. Use of Thermal Imagery for Robust Moving Object Detection
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : This work proposes a system that utilizes both infrared and visual imagery to create a more robust object detection and classification system. The system consists of two main parts: a moving object detector and a target classifier. READ MORE