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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...
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...
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...
This report is the first demonstration of RoF-DAS over WDM-PON with TDM techniques to realize a broadband ubiquitous wireless access with a gigabit-class throughput. The optical transmission performan...
With this optical home network solution associating an NxN multimode architecture and CWDM technology, various applications and network topologies are supported by a unique multiformat infrastructure....
The aim of this paper is to propose an attribute recognition model, so that it can be used to simultaneously estimate the public transit network system. Based on the analysis of a variety of factors i...
Research of thermal characteristics has been a key issue in the development of high-speed feed system. Most of the work carried out thus far is based on the principle of directly mapping the thermal e...

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