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of operations of radio frequency equipment emerge in increasingly complex, congested and contested spectral environments. With recent advances in machine learning across multiple fields, the time is ripe for a
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-disciplinary nationwide research teams. There will also be an opportunity for the candidate to broaden their analytical skillset through professional development and this may include aspects of machine learning
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of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose of providing actionable information. Analysis
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Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and robotic process automation
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. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and robotic