Dynamic feature of infrapatellar fat pad during walking in patients with knee osteoarthritis
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Medical Ultrasonics (2001)"
DOI: 10.1007/s10396-025-01518-3
Abstract: The infrapatellar fat pad (IFP) absorbs mechanical stress in the knee joint owing to flexible morphological changes. The IFP is a key factor in knee osteoarthritis (OA); however, its dynamic feature during walking remains unknown.… read more here.
Keywords: patients knee; knee osteoarthritis; ifp; dynamic feature ... See more keywords
Study on Liutex-driven reward for intelligent flow control by dynamic feature-based deep reinforcement learning
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DOI: 10.1063/5.0271616
Abstract: The issue of flow separation over an airfoil under weak turbulent conditions is addressed and resolved through the deep reinforcement learning (DRL) strategy. To suppress the generation of separation flow and the instability of the… read more here.
Keywords: liutex driven; reinforcement learning; dynamic feature; deep reinforcement ... See more keywords
Effective Communication With Dynamic Feature Compression
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DOI: 10.1109/tcomm.2024.3385922
Abstract: The remote wireless control of industrial systems is one of the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information that need to be shared over the… read more here.
Keywords: problem; feature compression; communication dynamic; communication ... See more keywords
DFAT: Dynamic Feature-Adaptive Tracking
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3197145
Abstract: During target tracking process, the state of the target is usually unpredictable. In theory, it is often beneficial to automatically assign suitable features to describe the specific target in each frame. Inspired by this, in… read more here.
Keywords: feature adaptive; adaptive tracking; candpool; performance ... See more keywords
A Method of Potentially Promising Network for Crack Detection With Enhanced Convolution and Dynamic Feature Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3154746
Abstract: Though crack detection is an indispensable task to ensure the safety of various infrastructures, it is often hard to fully and accurately detect cracks due to their complex background noises as well as long and… read more here.
Keywords: convolution; fusion; feature fusion; crack detection ... See more keywords
Dynamic feature mapping network for unsupervised low-light image enhancement
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.34.2.023004
Abstract: Abstract. Low-light image enhancement is a challenging task, and zero-reference deep curve estimation (Zero-DCE) is a popular method. However, due to the accumulation of results during the iterative process, Zero-DCE often leads to excessive enhancement.… read more here.
Keywords: low light; feature mapping; dynamic feature; image enhancement ... See more keywords
Chaotic dynamic feature enhancement and adaptive integrated learning framework for bearing fault diagnosis under unbalanced small sample conditions
Sign Up to like & getrecommendations! Published in 2025 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/09544062251363849
Abstract: To address the challenges of insufficient training samples and class imbalance in bearing fault diagnosis, a novel diagnosis framework termed ChaoFEX-Ensemble is proposed. This method integrates time-frequency domain weighted preprocessing with nonlinear dynamic feature extraction… read more here.
Keywords: framework; fault diagnosis; bearing fault; dynamic feature ... See more keywords