Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elad015
Abstract: The chromatin loops in the three-dimensional (3D) structure of chromosomes are essential for the regulation of gene expression. Despite the fact that high-throughput chromatin capture techniques can identify the 3D structure of chromosomes, chromatin loop… read more here.
Keywords: neural network; chromatin loop; chromatin loops; prediction ... See more keywords
Stator Single-Line-to-Ground Fault Protection for Bus-Connected Powerformers Based on S-Transform and Bagging Ensemble Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993692
Abstract: In order to achieve selective ground fault protection for bus-connected Powerformers and improve the reliability of the protection scheme, this paper presents a novel stator single-line-to-ground (SLG) fault protection scheme for bus-connected Powerformers based on… read more here.
Keywords: protection; bagging ensemble; bus connected; fault protection ... See more keywords
Wind Turbine Condition Monitoring Based on Bagging Ensemble Strategy and KNN Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3164717
Abstract: The gearbox is an important component of a wind turbine (WT). Once the gearbox is damaged, problems such as long-term maintenance and high maintenance costs will occur. Therefore, it is necessary to carry out on-line… read more here.
Keywords: condition monitoring; wind turbine; ensemble strategy; bagging ensemble ... See more keywords