Essays about: "Network interactions"
Showing result 11 - 15 of 231 essays containing the words Network interactions.
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11. Mono-X signal characterisation from two-component DarkMatter using Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : In the recent decade, neural networks have become one of the leading tools in the search for the elusive nature of dark matter and its interactions through the analysis of numerically simulated data. This project introduces a minimal dark sector consisting of three additional fields and studies it through two mono-X signatures,mono-jet and mono-Z. READ MORE
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12. Simultaneous scheduling of railway maintenance and trains : Modelling and solving train interactions close to a maintenance operation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rail transport plays a key role in the mobility of passengers and goods. It is expected to grow the decarbonization of society. In that context, it is important to use the railway network efficiently, and jointly planning trains and network maintenance allows for better use of resources. READ MORE
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13. Adversarial Machine (Deep) Learning-basedRobustification in 5G Networks
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : A significant development in wireless communication and artificial intelligence has been made possible by the combination of 5G networks with deep learning methods. This paper explores the complex interactions between these areas, concentrating on the dangers that adversarial attacks represent in the context of 5G network slicing. READ MORE
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14. Neural functional connections of pragmatics : A potential pragmatic network in development
University essay from Stockholms universitet/Institutionen för lingvistikAbstract : Pragmatic ability is crucial in everyday interactions. In populations of neurotypical individuals, pragmatic skill varies greatly. The neural mechanisms behind the variety, and the neural development of pragmatics remain to be explained. READ MORE
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15. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction
University essay from KTH/Matematisk statistikAbstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE