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The ongoing adoption of Cloud Computing has lead to an increase in the level of complexity of the existing services and inherently new challenges for companies willing to migrate in order to benefit f...
With the increasing acceleration of urbanization, the degeneration of the environment and the Urban Heat Island (UHI) has attracted more and more attention. Quantitative delineation of UHI has become ...
This paper is about the new theory and modeling framework about emergency information rapid publication, we defined and analyzed the connotation and extension of emergency information published rapidl...
This paper presents a method for automatically construct-ing a large commonsense knowledge base, called WebChild 1 ,from Web contents. WebChild contains triples that connect nouns with adjectives via ...
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
“Base state with amendments” preserve data state of sometime and increment relative to base state. It reduces redundant data, but efficiency to recover historical data has changed lower. In order to i...
In this paper we discuss the application of the Kohonen Selforganizing Maps to the classification of triadic chords in inversions and root positions. Our motivation started in the validation of Sch...
Laserscanning produces large sets of multidimensional point data, which demand for an effective and efficient organization and storage. Adequate data structures must perform specific spatial queries ...
In this paper we report the results of an experimental analysis on the use of two neural models for the thematic classification of multispectral remotely sensed data. A Back Propagation network with ...
Applying the region growing to the Kohonen’s self-organizing feature map, a non-supervised classifier for remotely sensed imagery data is proposed. If the self-organizing feature map is made large e...
The development of Internet provides convenient environment for information searching and browsing. It also offers a new platform for geographic information processing and analysis. This paper discuss...
The artificial neural networks (ANNs), among different soft computing methodologies are widely used to meet the challenges thrown by the main objectives of data mining classification techniques, due t...
There are several self-organizing networks in the real world, and these networks severely affect the development of the modern society. This paper investigates the vulnerability of self-organizing net...
In this paper a new algorithm for classification and real-time recognition of different a-priorily assumed operating modes for construction machines is proposed. This algorithm utilizes the effectiven...
Autonomous Underwater Vehicles (AUVs) are attractive tools for maintenance of underwater structures and oceanography, however, there are a lot of problems to be solved such as motion control, acquisit...

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