41 Result(s)
within
Chapter
Conference Paper
**-Wei Sun
Computer Communication Networks
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Chapter and Conference Paper
Are Graph Embeddings the Panacea?
Graph representation learning has emerged as a machine learning go-to technique, outperforming traditional tabular view of data across many domains. Current surveys on graph representation learning predominant...
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Chapter and Conference Paper
Data Quality Evaluation Method Based on Density Clustering Algorithm and Its Application
Data quality assessment is mainly to analyze, evaluate and calculate the collected original information, and then to obtain the decision results. At present, there are many research methods for data quality. T...
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Chapter and Conference Paper
A Study on the Integration of Worked Examples and Blended Learning in the Curriculum During the COVID-19 Epidemic
Both blended learning and work examples are used to enhance student learning. Due to the temporary suspension of classes due to COVID-19, the face-to-face course was temporarily converted to a full-scale onlin...
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Chapter and Conference Paper
Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection
Due to the intricate dynamics of multivariate time series in cyber-physical system, unsupervised anomaly detection has always been a research hotspot. Common methods are mainly based on reducing reconstruction...
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Chapter and Conference Paper
Development of Rural Labor Resource Optimization Platform Based on Spring Boot Technology
With the development of big data and cloud computing technology, the use of digital means to manage information resources has gradually become the mainstream of information processing. The outflow of rural lab...
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Chapter and Conference Paper
Online Adaptive Strategy for Traffic-Light Timing Based on Congestion Pressure
This paper devises a strategy for adjusting automatically the traffic light timing in real time by counting the number of vehicles with detecting devices at both ends of the road. By means of the strategy, bas...
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Chapter and Conference Paper
Optimal-Performance-Supervised Vibration Control for Nonlinear Discrete-Time System with Delayed Input Under Sinusoidal Disturbance
In this paper, an optimal-performance-supervised vibration control strategy is developed for a class of discrete-time nonlinear systems subject to delayed input and sinusoidal disturbance, which makes up the o...
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Chapter and Conference Paper
Generating Actuation Sensor Based on the First Positive and the Secondary Converse Piezoelectric Effect
On the basis of classical piezoelectric theory, dielectric theory and anisotropic elasticity theory, a new design method designing generating actuation sensor based on the first positive and the secondary conv...
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Chapter and Conference Paper
XRR: Explainable Risk Ranking for Financial Reports
We propose an eXplainable Risk Ranking (XRR) model that uses multilevel encoders and attention mechanisms to analyze financial risks among companies. In specific, the proposed method utilizes the textual infor...
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Chapter and Conference Paper
A Lightweight Neural Network Combining Dilated Convolution and Depthwise Separable Convolution
Aimed to reduce the excessive cost of neural network, this paper proposes a lightweight neural network combining dilated convolution and depthwise separable convolution. Firstly, the dilated convolution is use...
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
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Chapter and Conference Paper
S3D-UNet: Separable 3D U-Net for Brain Tumor Segmentation
Brain tumor is one of the leading causes of cancer death. Accurate segmentation and quantitative analysis of brain tumor are critical for diagnosis and treatment planning. Since manual segmentation is time-con...
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Chapter and Conference Paper
Predicting Smartphone App Usage with Recurrent Neural Networks
Nowadays millions of apps are available and most of users install a lot of apps on their smartphones. It will cause some troubles in finding the specific apps promptly. By predicting the next app to be used in...
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Chapter and Conference Paper
Modeling Longitudinal Voxelwise Feature Change in Normal Aging with Spatial-Anatomical Regularization
Image voxel/vertex-wise feature in the brain is widely used for automatic classification or significant region detection of various dementia syndromes. In these studies, the non-imaging variables, such as age,...
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Chapter and Conference Paper
Liquid Pouring Monitoring via Rich Sensory Inputs
Humans have the amazing ability to perform very subtle manipulation task using a closed-loop control system with imprecise mechanics (i.e., our body parts) but rich sensory information (e.g., vision, tactile, ...
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Chapter and Conference Paper
Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining
In recent years, with the advances in mobile communication and growing popularity of the fourth-generation mobile network along with the enhancement in location positioning techniques, mobile devices have gen...
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Chapter and Conference Paper
A Collaborated IPv6-Packets Matching Mechanism Base on Flow Label in OpenFlow
Software Defined Networks (SDN), the separation of a network device’s control and data planes, do not need to rely on the underlying network equipment (routers, switches, firewall).It is a new network which co...
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Chapter and Conference Paper
Improve Network Clustering via Diversified Ranking
Clustering is one fundamental task in network analysis. A widely-used clustering method is k-means clustering, where clustering is iteratively refined by minimizing the distance between each data point and its...
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Chapter and Conference Paper
An Effective Hybrid Fraud Detection Method
The rapid growth of data makes it possible for us to study human behavior patterns. Knowing the patterns of human behavior is of great use to help us detect the unusual fraud human behavior. Existing fraud det...
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Chapter and Conference Paper
Unsupervised Race Walking Recognition Using Smartphone Accelerometers
In today’s race walking competition, the determination of whether an athlete fouls is mainly affected by a referee’s subjective judgment, leading to a high possibility of misjudgment. The purpose of this work ...
