Topology prediction improvement of α-helical transmembrane proteins through helix-tail modeling and multiscale deep learning fusion.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of molecular biology"
DOI: 10.1016/j.jmb.2019.12.007
Abstract: Transmembrane proteins (TMPs) play important roles in many biological processes, such as cell recognition and communication. Their structures are crucial for revealing complex functions but are hard to obtain. A variety of computational algorithms have… read more here.
Keywords: transmembrane; deep learning; multiscale deep; topology ... See more keywords
Change detection with absolute difference of multiscale deep features
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.027
Abstract: Abstract Most of the previous change detection methods are designed based on the difference of two images. However, directly using intensity or the features to generate difference image may be easily affected by the illumination… read more here.
Keywords: change detection; detection; absolute difference; multiscale deep ... See more keywords
Trajectory-guided multiscale deep inversion networks for solving incompressible magnetohydrodynamics inverse problems
Sign Up to like & getrecommendations! Published in 2025 at "Physics of Fluids"
DOI: 10.1063/5.0293043
Abstract: Addressing the challenging inverse problems in incompressible magnetohydrodynamics (MHD) systems, this paper proposes multiscale deep inversion networks (MscaleDINs) that simultaneously perform parameter inversion and physical field reconstruction from sparse data—the first approach in this domain… read more here.
Keywords: incompressible magnetohydrodynamics; inverse problems; multiscale deep; magnetohydrodynamics ... See more keywords
Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network
Sign Up to like & getrecommendations! Published in 2025 at "GigaScience"
DOI: 10.1093/gigascience/giae103
Abstract: Abstract Background The accurate deciphering of spatial domains, along with the identification of differentially expressed genes and the inference of cellular trajectory based on spatial transcriptomic (ST) data, holds significant potential for enhancing our understanding… read more here.
Keywords: graph attention; subspace clustering; multiscale deep; attention autoencoder ... See more keywords
Defocus Blur Detection by Fusing Multiscale Deep Features With Conv-LSTM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2996200
Abstract: Defocus blur detection aiming at distinguishing out-of-focus blur and sharpness has attracted considerable attention in computer vision. The present blur detectors suffer from scale ambiguity, which results in blur boundaries and low accuracy in blur… read more here.
Keywords: defocus blur; blur detection; blur; multiscale deep ... See more keywords
MDC-FusFormer: Multiscale Deep Cross-Fusion Transformer Network for Hyperspectral and Multispectral Image Fusion
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3451551
Abstract: The spatial resolution of hyperspectral images (HSIs) is usually limited due to internal imaging mechanisms. To obtain imagery with high spectral and high spatial resolutions, which is essential for subsequent HSI processing tasks, a cost-effective… read more here.
Keywords: deep cross; mdc fusformer; multiscale deep; fusion ... See more keywords
MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3222517
Abstract: With the rapid development of visual sensors and artificial intelligence (AI), video/image data has increased dramatically, especially in the era of AI-enabled intelligent transportation. In low-light imaging conditions, however, the camera only captures weak scene-reflected… read more here.
Keywords: visual data; fusion; fusion enhancer; stacking fusion ... See more keywords
Multiscale Deep Learning for Detection and Recognition: A Comprehensive Survey
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3389454
Abstract: Recently, the multiscale problem in computer vision has gradually attracted people’s attention. This article focuses on multiscale representation for object detection and recognition, comprehensively introduces the development of multiscale deep learning, and constructs an easy-to-understand,… read more here.
Keywords: multiscale deep; detection recognition; deep learning; representation ... See more keywords
Transform a Simple Sketch to a Chinese Painting by a Multiscale Deep Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "Algorithms"
DOI: 10.3390/a11010004
Abstract: Recently, inspired by the power of deep learning, convolution neural networks can produce fantastic images at the pixel level. However, a significant limiting factor for previous approaches is that they focus on some simple datasets… read more here.
Keywords: deep neural; network; network transform; multiscale deep ... See more keywords