349 Result(s)
within
English
Machine Learning
**ze Shen
Chapter
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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
Assessment and Application Research on the Carrying Capacity of Township Power Supply Station Based on Big Data Analysis
At present, the grid division of township power supply stations lacks guiding opinions, the grid division principle of each unit is not unified, and the assessment of the carrying capacity of each station has ...
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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
CycleGAN-Based Image Translation for Near-Infrared Camera-Trap Image Recognition
Due to its invisibility, NIR (Near-infrared) flash has been widely used to capture the images of wild animals in the night. Although the animals can be captured without notice, the gray NIR images are short of...
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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
A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites
Identifying transcription factor (TF) binding sites (TFBSs) has play an important role in the computational inference of gene regulation. With the development of high-throughput technologies, there have been m...
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Chapter and Conference Paper
The Study on How Influencer Marketing Can Motivate Consumer Through Interaction-Based Mobile Communication
Compared to traditional sales model, influencer marketing motivates consumers in a totally different way in this era of mobile phone. This type of marketing uses various phenomenons hot online, such as a delic...
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Chapter and Conference Paper
Two-Stage Learning Brain Storm Optimizer
Brain storm optimizer (BSO), a new swarm intelligence paradigm inspired from the human brainstorming process, have received a surge of attentions. However, the original BSO easily suffers from the premature co...
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Chapter and Conference Paper
UAS Traffic Management in Low-Altitude Airspace Based on Three Dimensional Digital Aerial Corridor System
With the rapid development of the unmanned aerial system, the flight environment in low-altitude airspace is becoming more and more complex, which causes some potential security risks. A variety of air traffic...
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Chapter and Conference Paper
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
The performance of deep learning based methods strongly relies on the number of datasets used for training. Many efforts have been made to increase the data in the medical image analysis field. However, unlike...
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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
Detection of High-Risk Depression Groups Based on Eye-Tracking Data
Depression is the most common psychiatric disorder in the general population. An effective treatment of depression requires early detection. In reschedule this paper, a novel algorithm is presented based on ey...
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Chapter and Conference Paper
A Robust Automatic Method for Removing Projective Distortion of Photovoltaic Modules from Close Shot Images
Partial shading and hot spots may cause power loss and sometimes irreversible damage of photovoltaic (PV) modules. In order to evaluate the power generation of PV modules, it is necessary to calculate the area...
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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-model Network for Fine-Grained Cross-Media Retrieval
With the development of Internet, the forms of web data are rapidly increasing. However, existing cross-media retrieval methods mainly focus on coarse-grained, which is far from being satisfied in practical ap...
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Chapter and Conference Paper
Research on the Optimization of Mobile Work Terminal Positioning Function Based on LBS
In view of the weak support of GPS positioning function of mobile terminal, this paper uses in-depth research and analysis, using Unicom network auxiliary positioning service, according to the security contro...
