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Chapter and Conference Paper
Data Enhancement Method Based on Generative Adversarial Network for Small Transmission Line Detection
Unmanned aerial vehicle (UAV) patrol inspection is an important means of transmission line detection. However, during UAV patrol, due to the UAV or the bad weather, there may be droplets on the camera lens, wh...
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Chapter and Conference Paper
Research on Association Rules Mining of Atmospheric Environment Monitoring Data
Wireless sensor network technology and gird monitoring system have exerted positive effects on the treatment of air pollution by providing comprehensive information. Based on its data monitoring, multi-source...
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Chapter and Conference Paper
OpenPTDS Dataset: Pedestrian Trajectories in Crowded Scenarios
Pedestrian simulation is an important approach for engineers to evaluate the safety issues of metro buildings. Although there exist many works of pedestrian evacuation, it is still lacking of rich evacuation d...
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Chapter and Conference Paper
A Novel Load Balance Algorithm for Cloud Computing
A good scheduling algorithm is a key for load balance system, in which system’s load meets users’ requirement. Here, a new load balance algorithm based on swarm intelligence is proposed which can enhance the p...
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Chapter and Conference Paper
Interaction Artificial Bee Colony Based Load Balance Method in Cloud Computing
Rapidly development of the cloud computing and Internet makes load balance technique become more and more significant to us than ever. A perfect scheduling algorithm is the key to solve the load balance proble...
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Chapter and Conference Paper
A Feature Representation and Extraction Method for Malicious Code Detection Based on LZW Compression Algorithm
Differing in traditional methods which extracted too much features or filtered valuable items, we proposed a feature representation and extraction method based on LZW compression algorithm to detect malicious ...
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Chapter and Conference Paper
Classifying Stem Cell Differentiation Images by Information Distance
The ability of stem cells holds great potential for drug discovery and cell replacement therapy. To realize this potential, effective high content screening for drug candidates is required. Analysis of images ...
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Chapter and Conference Paper
Seismic Responses Prediction of Nonlinear Building Structures Based on Multi-Branch BP Neural Network
In this paper, a multi-branch back propagation neural network (BPNN) is adopted to predict the nonlinear seismic responses of an eccentric three-story reinforced concrete building. First of all, the network is...
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Chapter and Conference Paper
Semi-active Control of Eccentric Structures Based on Neural Networks
In this paper, the control approach to irregular structures excited by multi-dimensional ground motions is presented by using semi-active tuned liquid column damper (TLCD). A back propagation Artificial Neural...