A deep learning unsupervised approach for fault diagnosis of household appliances
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2856
Abstract: Abstract Fault detection and fault diagnosis are crucial subsystems to be integrated within the control architecture of modern industrial processes to ensure high quality standards. In this paper we present a two-stage unsupervised approach for… read more here.
Keywords: diagnosis; approach fault; unsupervised approach; diagnosis household ... See more keywords
A Fast Unsupervised Approach for Multi-Modality Surgical Trajectory Segmentation
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DOI: 10.1109/access.2018.2872635
Abstract: To improve the efficiency of surgical trajectory segmentation for surgical assessment and robot learning in robot-assisted minimally invasive surgery, this paper presents a fast unsupervised method using video and kinematic data, followed by a promoting… read more here.
Keywords: trajectory segmentation; fast unsupervised; segmentation; surgical trajectory ... See more keywords
An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12010025
Abstract: Electronic medical records (EMRs) include many valuable data about patients, which is, however, unstructured. Therefore, there is a lack of both labeled medical text data in Russian and tools for automatic annotation. As a result,… read more here.
Keywords: text; unsupervised approach; domain; electronic medical ... See more keywords