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Article
A lightweight attention-based network for micro-expression recognition
Micro-expression has emerged to be a feasible strategy in affective estimation due to its great reliability in emotion detection. Recent years have witnessed that deep learning methods were successfully applie...
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Article
Open AccessEffect of application of short-form video health education on the health knowledge and satisfaction with nursing care of patients with lower extremity fractures
Video health education has been increasingly adopted in the clinic to expand patient guidance and improve perioperative outcomes. To date, however, it is unclear whether the use of short-form videos and web-ba...
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Article
Open AccessTunable backbone-degradable robust tissue adhesives via in situ radical ring-opening polymerization
Adhesives with both robust adhesion and tunable degradability are clinically and ecologically vital, but their fabrication remains a formidable challenge. Here we propose an in situ radical ring-opening polyme...
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Article
Spatio-temporal stacking model for skeleton-based action recognition
Due to the prevalence of affordable depth sensors, skeleton-based action recognition has attracted much attention as a significant computer vision task. The state-of-the-art recognition precision usually comes...
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Article
Open AccessCharacterization of humic acids from original coal and its oxidization production
Five coal samples obtained from Chinese coal-producing areas were oxidized by hydrogen peroxide (H2O2), and humic acids (HAs) were derived from original coal and its oxidizition samples. HAs were characterized by...
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Article
Optimizing shapelets quality measure for imbalanced time series classification
Time series classification has been considered as one of the most challenging problems in data mining and is widely used in a broad range of fields. A biased distribution leads to classification on minority ti...
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Chapter and Conference Paper
Sliding Covariance Matrix: Co-learning Spatiotemporal Geometry Feature for Skeleton Based Action Recognition
The covariance matrix is a generic feature representation in vision applications. It can accurately and efficiently capture geometric features of Riemannian manifold especially in the condition of data size is...
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Chapter and Conference Paper
Improving ELM-Based Time Series Classification by Diversified Shapelets Selection
ELM is an efficient neural network which has extremely fast learning capacity and good generalization capability. However, ELM fails to measure up the task of time series classification because it hard to extr...
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Chapter and Conference Paper
Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method
Extreme Learning Machine (ELM for shot) is a single hidden layer feed-forward network, where the weights between input and hidden layer are initialized randomly. ELM is efficient due to its utilization of the ...
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Chapter and Conference Paper
Acoustic Target Localization Algorithm in Wireless Sensor Networks
Self-organizing and high fault tolerant characteristics of wireless sensor networks make them have great advantages in target tracking region, but untagged target localization is always a difficult problem to ...
