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The accuracy of supervised image classification is highly dependent upon several factors such as the design of training set (sample selection, composition, purity and size), resolution of input imager...
In this study, a land cover classification method based on multi-class Support Vector Machines (SVM) is presented to predict the types of land cover in Miyun area. The obtained backscattered full-wave...
We pose the question whether the asymptotic equivalence between quantum cloning and quantum state estimation, valid at the single-clone level, still holds when all clones are examined globally. We con...
Aspect extraction and sentiment analysis of reviews are both important tasks in opinion mining. We propose a novel senti-mentandaspectextractionmodelbasedon Restricted Boltzmann Machines to jointly ad...
Bounded rationality aims to understand the effects of how limited rationality affects decision-making. The traditional models in game theory and multiagent system research, such as finite automata or ...
This paper reports on research analysing the potential of Support Vector Machines (SVMs) for mapping vegetation from high spatial resolution Ikonos imagery. The work investigated the utility of SVMs f...
Due to its various negative consequences impervious surface is increasingly recognized as a key issue in assessing the sustainability of land use - particularly in urban environments. In Germany, a re...
Remote sensing techniques have been commonly used to map land cover and land use types. For many applications, users may only be interested in a specific land class in an image such as extracting urba...
A combination of the two remote sensing systems, imaging spectrometry (IS) and Light Detection And Ranging (LiDAR), is well suited to map fuel types, especially within the complex wildland urban inte...
In terms of research dealing with acceleration of technological and measuring processes during operating earth moving machines, a technological procedure of operating quality control of machines by me...
The central paradigm of Artificial Intelligence is rapidly shifting toward biological models for both robotic devices and systems performing such critical tasks as network management and process contr...
One of the most difficult tasks a compiler writer faces is the construction of the instruction selector. The instruction selector is that part of the compiler that translates compiler intermediate rep...
This paper proposes a safety design to prevent labor accidents due to the nullification of safeguards. Causes of nullification are specified in cases of accidents involving industrial machinery. They ...
Every year, there are about 10 fatal occupational accidents, and about 250 accidents involving at least 4 days of lost work time, that involved mixing and crushing machines. However, the degrees to wh...
Rockburst possibility prediction is an important activity in many underground openings design and construction as well as mining production. Due to the complex features of rockburst hazard assessment ...

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