Digital twin-driven machine learning: ball bearings fault severity classification
Sign Up to like & getrecommendations! Published in 2020 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abd280
Abstract: Machine learning algorithms (MLAs) are increasingly being used as effective techniques for processing vibration signals obtained from complex industrial machineries. Previous applications of automatic fault detection algorithms in the diagnosis of rotating machines were mainly… read more here.
Keywords: machine; machine learning; twin driven; digital twin ... See more keywords
Knowledge-Driven Machine Learning and Applications in Wireless Communications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3128597
Abstract: The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding that the huge amount of precious… read more here.
Keywords: machine; machine learning; knowledge driven; driven machine ... See more keywords
Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220160
Abstract: OBJECTIVE We aimed to develop a data-driven machine learning model for predicting critical deterioration events from routinely collected EHR data in hospitalized children. MATERIALS This retrospective cohort study included all pediatric inpatients hospitalized on a… read more here.
Keywords: machine; machine learning; critical deterioration; driven machine ... See more keywords