138 Result(s)
within
English
Computer Applications
Machine Learning
**ze Shen
Chapter
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Chapter and Conference Paper
Joint Extraction of Entity and Semantic Relation Using Encoder - Decoder Model Based on Attention Mechanism
Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention based neural network model for j...
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Chapter and Conference Paper
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes. In this paper, three patterns (cross-skip, skip-1 and skip-2) of distributed dense...
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Chapter and Conference Paper
Wind Turbine Clutter Suppression for Weather Radar Using Improved Ridge Regression Approach
The problem of clutter suppression is gaining importance because of many disadvantages. However, conventional clutter suppression methods cannot eliminate the great disturbances to radar system caused by wind ...
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Chapter and Conference Paper
Traffic Anomaly Detection for Data Communication Networks
The detection efficiency of the traditional data communication network traffic anomaly detection algorithm is low. And it is impossible to guarantee the accuracy of traffic detection in actual applications. T...
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Chapter and Conference Paper
Facial Action Units Intensity Estimation via Graph Relation Network
Facial action units (AUs) intensity estimation is a fundamental task for facial expression analysis, emotion recognition and affective computing. Since AUs commonly appear in specific combinations and are high...
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Chapter and Conference Paper
U-Net Neural Network Optimization Method Based on Deconvolution Algorithm
U-net deep neural network has shown good performances in medical image segmentation analysis. Most of the existing works are a single use of upsampling algorithm or deconvolution algorithm in the expansion pat...
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Chapter and Conference Paper
A Survey on Side-Channel Attacks of Strong PUF
With the application domain extension and the in-depth research on physical unclonable function, the security of PUF has attracted more and more attention. Various attack methods have been emerged, among which...
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Chapter and Conference Paper
A Mixed Mutual Authentication Scheme Supporting Fault-Detection in Industrial Internet of Things
In the Industry Internet of Thing (IIoT), industrial robots and employees play very important roles in manufacturing process. However, a secure and efficient authentication scheme for industrial robot and empl...
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Chapter and Conference Paper
Prediction Analysis of Soluble Solids Content in Apples Based on Wavelet Packet Analysis and BP Neural Network
Considering Fuji apple, the relationship between the near infrared spectrum and the soluble solids content (SSC), which is one of the important indexes to measure the internal quality of apple, is studied in t...
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Chapter and Conference Paper
Hybrid Labels for Brain Tumor Segmentation
The accurate automatic segmentation of brain tumors enhances the probability of survival rate. Convolutional Neural Network (CNN) is a popular automatic approach for image evaluations. CNN provides excellent r...
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Chapter and Conference Paper
Wind Turbine Clutter Mitigation for Weather Radar by Extreme Learning Machine (ELM) Method
Because of its overall performance, the Extreme Learning Machine (ELM) has been very concerned. This paper introduces the ELM algorithm into the clutter mitigation for weather radar, and proposes a wind turbi...
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Chapter and Conference Paper
cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit
Radiomics is widely-used in imaging based clinical studies as a way of extracting high-throughput image descriptors. However, current tools for extracting radiomics features are generally run on CPU only, whic...
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Chapter and Conference Paper
Improving Accuracy of Mobile Robot Localization by Tightly Fusing LiDAR and DR data
In this paper, a tightly-coupled light detection and ranging (LiDAR)/dead reckoning (DR) navigation system with uncertain sampling time is designed for mobile robot localization. The Kalman filter (KF) is used...
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Chapter and Conference Paper
Multi-scale Object Detection in Optical Remote Sensing Images Using Atrous Feature Pyramid Network
Multi-scale feature representations are widely exploited by both the one-stage object detectors and the two-stage object detectors in recent years. Object instances in optical remote sensing images change grea...
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Chapter and Conference Paper
Contrastive Learning with Hallucinating Data for Long-Tailed Face Recognition
Face recognition has been well studied over the past decades. Most existing methods focus on optimizing the loss functions or improving the feature embedding networks. However, the long-tailed distribution pro...
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Chapter and Conference Paper
Tightly INS/UWB Combined Indoor AGV Positioning in LOS/NLOS Environment
In view of the defects and shortcomings of traditional Automated Guided Vehicle (AGV) robots in the localization mode and working scene, this paper studies the tightly-coupled integrated localization strategy ...
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Chapter and Conference Paper
Dual Residual Global Context Attention Network for Super-Resolution
Recently, deep convolutional neural networks have enabled SISR to achieve amazing performance and visual experience. However, we note that most current methods fail to model effective long-distance dependence,...
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Chapter and Conference Paper
High-Resolution Digital Map** of Soil Total Nitrogen in Hilly Region Using Multi-variables Based on Landform Element Classification
In this study, we simulated the complex and nonlinear relationship between STN and environmental variables, and evaluated the importance of each variable for accurate STN map**. Machine learning models were ...
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Chapter and Conference Paper
Real-Time Multi-target Activity Recognition Based on FMCW Radar
Since multi-target activity recognition solutions based on wearable devices require that sensors be worn at all times, as well as vision-based multi-target activity recognition solutions are susceptible to wea...
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Chapter and Conference Paper
Design and Implementation of Security Labeling System Based on Neighborhood Rough Set
At present, “smart security” as a produsction of modern science and technology, it provides an important technical guarantee for personal safety, family property safety and even the safety of the whole society...
