32 Result(s)
within
English
Artificial Intelligence
Data Mining and Knowledge Discovery
**aochen **
Conference Paper
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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
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
Big Data Analysis for Anti-Money Laundering: A Case of Open Source Greenplum Application
For the anti-money laundering regulations of financial institutions, it is important to do the timely big data analysis to continuously optimize the comprehensiveness, correctness and effectiveness of transact...
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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
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
PatentMiner: Patent Vacancy Mining via Context-Enhanced and Knowledge-Guided Graph Attention
Although there are a small number of work to conduct patent research by building knowledge graph, but without constructing patent knowledge graph using patent documents and combining latest natural language pr...
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Chapter and Conference Paper
Link Prediction of Heterogeneous Information Networks Based on Frequent Subgraph Evolution
The problem of link prediction in heterogeneous information networks has been widely studied in recent years. It is essential to grasp the evolution law for both static information networks and dynamic informa...
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Chapter and Conference Paper
Using GMOSTNet for Tree Detection Under Complex Illumination and Morphological Occlusion
Trees are an integral part of the forestry ecosystem. In forestry work, the precise acquisition of tree morphological parameters and attributes is affected by complex illumination and tree morphology. In order...
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Chapter and Conference Paper
A Minimum Rare-Itemset-Based Anomaly Detection Method and Its Application on Sensor Data Stream
In recent years, the scale of data stream is becoming much larger in real life. However, the anomaly data often exists in the collected data stream, while the existence of anomaly is a main reason for the decr...
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Chapter and Conference Paper
Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values
The missing value is a common phenomenon in real-world datasets, which makes the analysis of incomplete data become an active research area. In this paper, a correlation-enhanced auto-associative neural networ...
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Chapter and Conference Paper
Image Stitching Based on Discrete Wavelet Transform and Slope Fusion
The fusion algorithm of traditional image stitching does not fully consider the differences of the clarity of the two images, and the conventional Discrete Wavelet Transform algorithm would blur the image whe...
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Chapter and Conference Paper
Stress Wave Tomography of Wood Internal Defects Based on Deep Learning and Contour Constraint Under Sparse Sampling
In order to detect the size and shape of defects inside wood using stress wave technology under sparse sampling, a novel tomography algorithm is proposed in this paper. The method uses instrument to obtain the...
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Chapter and Conference Paper
Study on the Theory and Practice of Data Visualization
Data visualization is a science and technology research on data visual form, which is originated in the 50’s of the twentieth Century. It went from scientific visualization, information visualization to data v...
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Chapter and Conference Paper
Improved Bat Algorithm for Multiple Knapsack Problems
Bat algorithm has been paid more attention because of its excellent conversion ability between global search to local search and its high robustness. To solve the problem of 0–1 single knapsack problem, schola...
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Chapter and Conference Paper
PDCS: A Privacy-Preserving Distinct Counting Scheme for Mobile Sensing
Mobile sensing mines group information through sensing and aggregating users’ data. Among major mobile sensing applications, the distinct counting problem aiming to find the number of distinct elements in a da...
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Chapter and Conference Paper
Reinforcement Learning Policy with Proportional-Integral Control
Deep Reinforcement Learning has made impressive advances in sequential decision making problems recently. Constructive reinforcement learning (RL) algorithms have been proposed to focus on the policy optimizat...
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Chapter and Conference Paper
A Pathology Image Diagnosis Network with Visual Interpretability and Structured Diagnostic Report
Despite recent advances in medical diagnosis domain, many challenges remain in obtaining more accurate conclusions and in presenting semantically and visually interpretable results during the diagnosis process...
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Chapter and Conference Paper
Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot
With the revival of deep neural networks, viewpoint estimation problem can be handled by the learned distinctive features. However, the scarcity and expensiveness of viewpoint annotation for the real-world ind...
