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المؤلفون: Stephane Chretien, Alexander Gibberd, Sandipan Roy
المصدر: Lancaster University-Pure
مصطلحات موضوعية: FOS: Computer and information sciences, Statistics::Machine Learning, Statistics - Computation, Computation (stat.CO)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9fa957c23e12484f1b2dc49d295cde
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المؤلفون: Alexander Gibberd, Jordan Noble, Edward Cohen
المساهمون: Engineering & Physical Science Research Council (EPSRC)
المصدر: Lancaster University-Pure
International Conference on Time Series and Forecastingمصطلحات موضوعية: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c7e754396b63c5a3e551ee2f391132
https://puretest.lancaster.ac.uk/portal/en/publications/characterising-dependency-in-computer-networks-using-spectral-coherence(52201412-b75a-4bac-a976-5b4036b97fb3).html