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combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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: knowledge and experience within marine technology, in particular, offshore wind turbine technology knowledge and experience within machine learning motivation and potential for research within the field
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26 Apr 2024 Job Information Organisation/Company University of Stavanger Department Department of Electrical Engineering and Computer Science Research Field Computer science » Computer systems
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Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement proactive operational measures such as activation
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data