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Titlebook: Modeling and Simulation Environment for Satellite and Terrestrial Communications Networks; Proceedings of the E A. Nejat Ince Conference pr

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Detection and Identification of Bulk Explosives Using Portable Neutron Generators,lities for creating facilities for detection of dangerous items, including explosives. Such facilities have been being developed with different intensity in several countries during several decades. However, it is too early to speak about any great success in this field, since this work is still con
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Text Mining Techniques Implemented to Extract Data from Transit Events in Twitter: A Systematic Litend themes. In this context, Twitter is used to post short messages about traffic or transit in cities, becoming a means of direct communication for public and private users. The application of text mining techniques allows extracting relevant information in a specific place and time from this source
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Adsorption of Chloride Ions from Aqueous Solution Using Activated Carbon Obtained by Chemical Activation of Jute Stick,as adsorbents to remove saline ions from water. Activated carbon (AC) is the most efficient adsorbent in water treatment among those materials. This study demonstrates the effectiveness of activated carbon, derived from jute stick (JS), as an adsorbent and its adsorption performance in removing sali
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Alexander F. Schmidt,Rainer Banseg’, in which the data streams through successive computational units, each carrying out its own particular operation on the data. Again, a parallel system can be one in which the basic machine instructions involve simultaneous access to a substantial subset of the total data to be processed.
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Comprehensive Evaluation of Environmental TFP Index in China: Based on the DEA Model of Directional Distance Functionferences in unbalanced regional development, and industry TFP changes. Overall, levels of Environmental TFP Index in china are on the decline, technological advance is a key factor to improve industrial environmental TFP, technical efficiency is secondary cause.
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https://doi.org/10.1007/978-3-319-92420-5experiments, it was seen that the classification time in Fuzzy-AIRS was reduced by about 67% of AIRS for dataset. Fuzzy-AIRS classifier proved that it can be used as an effective classifier for image classification by reducing classification time as well as obtaining high classification accuracies.
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