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Chapter and Conference Paper
Two Stream Multi-Attention Graph Convolutional Network for Skeleton-Based Action Recognition
The skeleton-based action recognition has attracted much attention of researchers. The existing methods mostly introduce motion information into models by using multi-stream architecture, which leads to more p...
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Chapter and Conference Paper
Fault Diagnosis for Lithium-Ion Batteries in Electric Vehicles Based on VMD and Edit Distance
Thermal runaway accidents of lithium-ion batteries have occurred frequently in recent years, which have seriously affected its further promotion and application. In the early stage of battery faults, its exter...
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Chapter and Conference Paper
Interpretable Driver Fatigue Estimation Based on Hierarchical Symptom Representations
Traffic accidents caused by driver fatigue lead to millions of death and financial loss every year. Current end-to-end methods for driver fatigue detection are not capable of distinguishing the detailed fatigu...
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Chapter and Conference Paper
CMFG: Cross-Model Fine-Grained Feature Interaction for Text-Video Retrieval
As a fundamental task in the multimodal domain, text-to-video retrieval task has received great attention in recent years. Most of the current research focuses on the interaction between cross-modal coarse-gra...
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Chapter and Conference Paper
TCVM: Temporal Contrasting Video Montage Framework for Self-supervised Video Representation Learning
Extracting appropriate temporal differences and ignoring irrelevant backgrounds are two important perspectives on preserving sufficient motion information in video representation, such as driver behavior monit...
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Chapter and Conference Paper
A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning
To solve the multi-platform user association problem of complex trajectory matching process and high time cost in cross-platform association positioning of instant messaging users, and at the same time make fu...
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Chapter and Conference Paper
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation
Brain parcellation plays an important role in neurodegenerative disease diagnosis and brain network analysis. One of the big challenges in brain parcellation is lack of clear anatomical boundary between differ...
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Chapter and Conference Paper
Extraction Behaviors of Vanadium(V) with Unacidified and Acidified N1923 from a Real Leachate of Vanadium-Titanomagnetite
extraction has received special attention owing to the application of vanadium in the energy storage. In this study, a vanadium-containing leachate obtained from vanadium-titanomagnetite was employed for . T...
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Chapter and Conference Paper
Research on Performance Degradation Characteristics of an Airborne Hydraulic Actuator
Degradation characteristics analysis is an effective and reliable method for life analysis of airborne hydraulic actuator. Compared with life data analysis, degradation score can usually provide more accurate ...
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Chapter and Conference Paper
A Method for Analysis of Environmental Sensitive Stress in the Actuator Enhanced Test
In order to determine the influence of environmental sensitive stress in the actuator reliability enhancement test, improve product reliability, a certain type of actuator is taken as the research object in th...
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Chapter and Conference Paper
A Rapid Device Type Identification Method Based on Feature Reduction and Dynamical Feature Weights Assignment
The network
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Chapter and Conference Paper
A Cross-Platform Instant Messaging User Association Method Based on Spatio-temporal Trajectory
The current research on cross-platform instant messaging user association is mainly divided into two categories: based on user attributes and based on user behavior. Methods based on user attributes mainly ide...
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Chapter and Conference Paper
HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification
Commodity Harmonization System (HS) code classification is an important customs procedure in cross-border trade. HS code classification is to identify the category (i.e., HS code) of a commodity according to i...
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Chapter and Conference Paper
FAN: A Lightweight Authenticated Cryptographic Algorithm
The wide application of the low-end embedded devices has largely stimulated the development of lightweight ciphers. In this paper, we propose a new lightweight authenticated encryption with additional data (AE...
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Chapter and Conference Paper
3-D Oral Shape Retrieval Using Registration Algorithm
In this paper, we present a novel 3-D oral shape retrieval using correntropy-based registration algorithm. Fast matching as the traditional registration method can achieve, its registration accuracy is disturb...
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Chapter and Conference Paper
Robust RGB-D Data Registration Based on Correntropy and Bi-directional Distance
The iterative closest point (ICP) algorithm is most widely used for rigid registration of point sets. In this paper, a robust ICP registration method data is proposed to register RGB-D data. Firstly, the color...
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Chapter and Conference Paper
Basic Research on Wireless Remote Control Rabbit Animal Robot Movement
Bio-robots are emerging and forward-thinking high-tech fields in the world today. However, the research on rabbit animal robots has not yet been reported in detail, so this study conducted an exploratory study...
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Chapter and Conference Paper
Point Cloud Based Three-Dimensional Reconstruction and Identification of Initial Welding Position
Initial welding position guidance is necessary for vision-based intelligentized robotic welding. In this paper, we proposed a point cloud based approach to recognize working environment and locate welding init...
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Chapter and Conference Paper
The Test Plan Design of Corrosion Fault Repeat and Material Selection for a Type of PCB
The failure analysis (FA) of the PCB indicates that the connecting line of relay pin and inner structure is broken for Cl corrosion. To verify the above conclusion and find the introducing path of Cl, the acce...
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Chapter and Conference Paper
A Robust Image Reflection Separation Method Based on Sift-Edge Flow
Motion computation is an important part for image reflection separation methods using image sequence. As the motion of background and reflection is separated on image edges, in this paper we present a robust i...