Data Filtering and Its Prioritization in Pipelines for Spatial Segmentation of Mass Spectrometry Imaging.
Sign Up to like & getrecommendations! Published in 2021 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.0c05242
Abstract: Mass spectrometry imaging (MSI) could provide vast amounts of data at the temporal-spatial scale in heterogeneous biological specimens, which challenges us to segment accurately suborgans/microregions from complex MSI data. Several pipelines had been proposed for… read more here.
Keywords: spatial segmentation; mass spectrometry; pipeline; segmentation ... See more keywords
Safe: Synergic Data Filtering for Federated Learning in Cloud-Edge Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3195896
Abstract: With the increasing data scale in the Industrial Internet of Things, edge computing coordinated with machine learning is regarded as an effective way to raise the novel latency-sensitive services. To ensure the data privacy for… read more here.
Keywords: data filtering; federated learning; synergic data; edge computing ... See more keywords
Robust Data Filtering for Estimating Electromechanical Modes of Oscillation via the Multichannel Prony Method
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2017.2775063
Abstract: This paper develops a robust estimator of correlation as a data preprocessing stage to the Prony method that is able to suppress white impulsive noise. The method consists of the following steps. First, the bus… read more here.
Keywords: prony method; method; complex valued; data filtering ... See more keywords
Mass internet of things data security exchange model under heterogeneous environment
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Embedded Systems"
DOI: 10.1504/ijes.2020.10029261
Abstract: At present, the data classification based on SOA data exchange method of internet of things (IoT) data is not perfect, the effectiveness of data filtering is low, and the security of data exchange is poor.… read more here.
Keywords: data exchange; security; internet things; model ... See more keywords
OES-Fed: a federated learning framework in vehicular network based on noise data filtering
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1101
Abstract: The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control to running vehicles. One of the main problems in the IoV is the reluctance… read more here.
Keywords: data filtering; federated learning; framework; noise data ... See more keywords