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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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& Statistics Project description Unmanned Aerial Vehicle (UAV) e.g., drones are increasingly used for equipment anomaly and fault detection. When the drones are employed to take images, the quality of the images
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in computing, communication, and sensing. However, to unlock their full potential, fundamental challenges remain - particularly in scaling quantum systems, improving error tolerance, and achieving
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43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and
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of underwater acoustic environment or low signal-to-noise environment. We will develop more effective deep learning to increase data communication speed and reduce error probabilities. The project aims
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department each year. You can find more information about us on the Department of Information Technology website . The PhD position is hosted by the Division of Computing Science and specifically within
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processes typically have long run times and often have large margins of error. Identifying a simple, quick method to detect these events and further understanding would enable more effective decision-making
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technique, immune signalling, and the bacteria living in the gut (microbiome). This study aims to evaluate the impact of surgical technique on disease recurrence, methods for detecting recurrence, and changes
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are often implemented in hardware to meet performance and efficiency requirements, but their deployment can expose them to attacks such as side-channel analysis and fault injection. Countermeasures against
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. Responsibilities and qualifications Your responsibilities are as follows: Conduct state‐of‐the‐art research and develop novel deep learning techniques for semantic segmentation and probabilistic defect detection