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It is difficult to endow reprocessable shape memory thermosetting resins with outstanding heat resistance and high mechanical strength. Herein, a new kind of reprocessable shape memory thermosetting r...
The classification of point clouds is the first step in the extraction of various types of geo-information form point clouds. Recently the ISPRS WG II/4 provides a benchmark on 3D semantic labelling, ...
There are many shadows on the high spatial resolution satellite images, especially in the urban areas. Although shadows on imagery severely affect the information extraction of land cover or land use,...
DEM super resolution is proposed in our previous publication to improve the resolution for a DEM on basis of some learning examples. Meanwhile, the nonlocal algorithm is introduced to deal with it and...
Poyang Lake is the largest freshwater lake in China with an area of about 3,000 km2. Its wetland ecosystem has a significant impact on China' s environment change. Traditional way to monitor biomass c...
The present study examines the role of spatial metrics in the performance of a previously developed ANN model for predicting land use/cover changes. The model outputs are validated against a land-use ...
The urban integrated pipeline network transfers information and energies day and night for the city, therefore, the information system of urban integrated pipeline network is crucial for urban plannin...
The generalization operation should first make decision of object importance at geographic level, which relates not only to the geometric properties of independent object but also the other context ob...
After 9/11 there has been special interests in 3D models to represent internal structures of micro-scale environment (built-in urban areas), in order to understand and analyze human movements under su...
Navigable geographic framework data functions as the geo-spatial referencing framework that integrates traffic maneuver and POI(s). The main difference between the navigable geographic framework and...
This paper puts forward a method that combines the learning algorithm of BP neural network with genetic algorithm to train BP network and optimize the weight values of the network in a global scale. T...
Mispronunciation Detection via Dynamic Time Warping on Deep Belief Network-Based Posteriorgrams.
In this thesis we present new results for the 99.9% confidence level flux upper limits on the pulsed VHE gamma ray signal coming from the Crab pulsar. In order to achieve optimum hadronic background s...
In this paper, we explore the use of deep belief network (DBN) posteriorgrams as input to our previously proposed comparison-based system for detecting word-level mispronunciation. The system works by...
Network-based language teaching (NBLT) involves the application of global or local communication networks within foreign and second language education (Warschauer and Kern, 2000). In telecollaboration...

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