46 Result(s)
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English
Artificial Intelligence
Computer Communication Networks
**aochen **
Conference Paper
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Chapter and Conference Paper
Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding
Motor imagery (MI) serves as a vital approach to constructing brain-computer interfaces (BCIs) based on electroencephalogram (EEG) signals. However, the time-variant and label-coupling characteristics of EEG s...
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Chapter and Conference Paper
An Erase Code Based Collaborative Storage Method in RFID Systems
Ensuring the safe and reliable storage of important data under limited storage resources is an important challenge faced by RFID systems. Cooperative storage technology based on network coding can divide the t...
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Chapter and Conference Paper
Efficient Point-Based Single Scale 3D Object Detection from Traffic Scenes
In the field of 3D object detection, the point-based method faces significant limitations due to the need to process large-scale collections of irregular point clouds, resulting in reduced inference speed. To ...
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Chapter and Conference Paper
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video
Real-time video over the Internet suffers from packet loss and low network bandwidth. The receiving side may receive down-sampled video with damaged frames. In this work, we are motivated to enhance the qualit...
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Chapter and Conference Paper
Steering Control Method of Mobile Forklift Based on Sensing Signal
Because the steering control method of the mobile forklift has the problem of large steering deviation, a steering control method of the mobile forklift based on sensing signal is designed. Using the yaw rate ...
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Chapter and Conference Paper
Adaptive RBF-Neural-Network Control with Force Observer for Teleoperation Robotic System
In this paper, an adaptive radial basis function neural network (RBFNN) control strategy is proposed for bilateral teleoperation robotic system with uncertainty and time delay. Meantime, the force observer met...
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Chapter and Conference Paper
SBR-based User Intent Extraction Mechanism for Intent-Based Network
As an promising technology to improve the network configuration efficiency, IBN (Intent-Based Network) can realize the automatic configuration from users to devices, with the objective to reduce the maintenanc...
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Chapter and Conference Paper
Extraction Method of Vibroseis Phase Signal Based on Time-Varying Narrowband Filtering
When the phase travel time value increases continuously, the accuracy of the vibroseis phase signal extraction method will be disturbed. Aiming at this problem, a time-varying narrow-band filtering based vibro...
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Chapter and Conference Paper
3D Visualization Supporting Situational Awareness of Model-Based System of Systems
Model-based System of Systems Engineering (MBSoSE) enables to improve the efficiency of the architecture design, and the performance analysis and modeling of highly complex system of systems (SoS). Introducing...
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Chapter and Conference Paper
Efficient Designated-Server Proxy Re-encryption with Keyword Search for Big Data
Against the background of the era of big data and cloud computing, cloud platforms have become the first choice for data storage. While cloud platforms also face serious threats to data security and user priv...
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Chapter and Conference Paper
The Impact and Countermeasures of the “Two Pillar” Scheme for Mobile Digital Enterprise Taxation
Twenty-First Century, digital economy has been a tremendous development and become the main economic forms of the world. However, mobile digital enterprises mostly provide services through the use of new platf...
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Chapter and Conference Paper
VERTEX: VEhicle Reconstruction and TEXture Estimation from a Single Image Using Deep Implicit Semantic Template Map**
We introduce VERTEX, an effective solution to recovering the 3D shape and texture of vehicles from uncalibrated monocular inputs under real-world street environments. To fully utilize the semantic prior of veh...
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Chapter and Conference Paper
Facial Action Unit Detection by Exploring the Weak Relationships Between AU Labels
In recent years, facial action unit (AU) detection attracts more and more attentions and great progress has been made. However, few approaches solve AU detection problem by applying the emotion information, an...
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Chapter and Conference Paper
Uncertainty-aware Mean Teacher Framework with Inception and Squeeze-and-Excitation Block for MICCAI FLARE22 Challenge
Semi-supervised learning has attracted extensive attention in the field of medical image analysis. However, as a fundamental task, semi-supervised segmentation has not been investigated sufficiently in the fie...
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Chapter and Conference Paper
Enhanced Spatial Awareness for Deep Interactive Image Segmentation
Existing deep interactive segmentation approaches can extract the desired object for the user based on simple click interaction. However, the first click provided by the user on the full image space domain is ...
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Chapter and Conference Paper
A Mechanical Method for Isolating Locally Optimal Points of Certain Radical Functions
In this paper, we present a symbolic computation method for constructing a small neighborhood U around a known local optimal maximal or minimal point
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Chapter and Conference Paper
Semantic Modeling Supporting Discrete Event Simulation for Aircraft Assembly Process
Aircraft assembly is a complex process associated with different stakeholders, which strongly impacts the R&D cost for the entire aircraft lifecycle management. Traditional aircraft assembly process is designe...
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Chapter and Conference Paper
The Intelligent Routing Control Strategy Based on Deep Learning
The rapid development of computer hardware and software provides a suitable platform for machine learning, in which deep learning has become a breakthrough in machine learning technology in various fields in m...
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Chapter and Conference Paper
Incrementally Finding the Vertices Absent from the Maximum Independent Sets
A vertex v in a graph G is called an absent vertex if it is not in any maximum independent set of G. Absent vertex discovery is useful in various scenarios. For example, if G depicts a wireless communication inte...
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Chapter and Conference Paper
Integrating Task Information into Few-Shot Classifier by Channel Attention
It has been increasingly recognized that meta-learning-based approaches provide a promising way to handle challenges to few-shot learning. In this paper, we incorporate the channel attention in the main framew...
