Framework of airfoil max lift-to-drag ratio prediction using hybrid feature mining and Gaussian process regression
Sign Up to like & getrecommendations! Published in 2021 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2021.114339
Abstract: Abstract The maximum lift-to-drag coefficient of an airfoil directly affects the aerodynamic performance of wind turbine. Machine learning methods are known for being really effective in helping to predict this parameter in a faster and… read more here.
Keywords: lift drag; feature mining; process; feature ... See more keywords
HFMNet: Hierarchical Feature Mining Network for Low-Light Image Enhancement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3181280
Abstract: Images captured in low-light environments often suffer from issues related to dark illumination and damaged details, which results in poor visibility. To address these problems, existing methods have attempted to enhance the visibility of low-light… read more here.
Keywords: network; illumination; feature mining; low light ... See more keywords
InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining
Sign Up to like & getrecommendations! Published in 2020 at "BMC Genomics"
DOI: 10.1186/s12864-020-6585-1
Abstract: Genomic inversion is one type of structural variations (SVs) and is known to play an important biological role. An established problem in sequence data analysis is calling inversions from high-throughput sequence data. It is more… read more here.
Keywords: invbfm; feature mining; inversion; sequence data ... See more keywords