Deep clustering using 3D attention convolutional autoencoder for hyperspectral image analysis
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-54547-2
Abstract: Deep clustering has been widely applicated in various fields, including natural image and language processing. However, when it is applied to hyperspectral image (HSI) processing, it encounters challenges due to high dimensionality of HSI and… read more here.
Keywords: attention convolutional; analysis; deep clustering; hyperspectral image ... See more keywords
Dual Attention Convolutional AutoEncoder for Diagnosis of Alzheimer’s Disorder in Patients Using Neuroimaging and MRI Features
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3390186
Abstract: Alzheimer’s disease is a neurodegenerative disease causing memory loss and brain protein accumulation. Early diagnosis is crucial for clinical trials and patient care. Magnetic resonance imaging (MRI) methods have improved diagnosis and prognosis, but doctors… read more here.
Keywords: alzheimer disease; disease; diagnosis; attention convolutional ... See more keywords
Pyramidal Dilation Attention Convolutional Network With Active and Self-Paced Learning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3237566
Abstract: In recent years, deep neural networks have been widely used for hyperspectral image (HSI) classification and have shown excellent performance using numerous labeled samples. The acquisition of HSI labels is usually based on the field… read more here.
Keywords: network; classification; attention convolutional; dilation attention ... See more keywords
Dense & Attention Convolutional Neural Networks for Toe Walking Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3272362
Abstract: Idiopathic toe walking (ITW) is a gait disorder where children’s initial contacts show limited or no heel touch during the gait cycle. Toe walking can lead to poor balance, increased risk of falling or tripping,… read more here.
Keywords: toe walking; dense attention; attention convolutional; proposed approach ... See more keywords
Predicting the Intensity of Tropical Cyclones over the Western North Pacific Using Dual-Branch Spatio-Temporal Attention Convolutional Network
Sign Up to like & getrecommendations! Published in 2024 at "Weather and Forecasting"
DOI: 10.1175/waf-d-23-0191.1
Abstract: This paper proposes a Spatio-temporal Attention Convolutional Network (STACPred) that leverages deep learning techniques to model the spatio-temporal features of tropical cyclones (TC) and enable real-time prediction of their intensity. The proposed model employs dual… read more here.
Keywords: intensity; temporal attention; attention; attention convolutional ... See more keywords