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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 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 ...
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...
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 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...
This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based on test data from two different study areas with different character...

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