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Year: 2018Subject: artificial neural networksFiles: Metadata onlyclear all
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SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th SGEM International Multidisciplinary Scientific GeoConference SGEM2018, Nano, Bio, Green and Space: Technologies for Sustainable Future
Publication

APPLICATION OF NEURAL NETWORK MODEL FOR PREDICTING THE ANTIBACTERIAL ACTIVITY OF ALGINATE-CHITOSAN SPONGES

(STEF92 Technology, 2018-11-20, Gordienko, Mariia)

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Medical materials based on natural polysaccharides can be used as hemostatic sorbents and dressings. In this work, some samples of sponges had been obtained based on sodium alginate and chitosan. The concentration of sodium alginate in the solution, the ratio of alginate and chitosan were varied during an experiment. Polysaccharide cross-linking was carried out by inotropic gelation or by combining ionotropic gelation with ionic substitution. According to the literature, a chitosan have antibacterial properties ag...

Advances in Biotechnology2018
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th SGEM International Multidisciplinary Scientific GeoConference SGEM2018, Nano, Bio, Green and Space: Technologies for Sustainable Future
Publication

APPLICATION OF NEURAL NETWORK MODEL FOR PREDICTING THE ANTIBACTERIAL ACTIVITY OF ALGINATE-CHITOSAN SPONGES

(STEF92 Technology, 2018-11-20, Gordienko, Mariia)

Show more

Medical materials based on natural polysaccharides can be used as hemostatic sorbents and dressings. In this work, some samples of sponges had been obtained based on sodium alginate and chitosan. The concentration of sodium alginate in the solution, the ratio of alginate and chitosan were varied during an experiment. Polysaccharide cross-linking was carried out by inotropic gelation or by combining ionotropic gelation with ionic substitution. According to the literature, a chitosan have antibacterial properties ag...

Advances in Biotechnology2018
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th SGEM International Multidisciplinary Scientific GeoConference SGEM2018, Energy and Clean Technologies
Publication

ANN BASED MONTHLY POWER CONSUMPTION FORECASTING. CASE STUDY FOR A ROMANIAN ELECTRIC ENERGY DISTRIBUTION OPERATOR

(STEF92 Technology, 2018-11-20, BARBULESCU, C., KILYENI, S., DEACU, A., SIMO, A., NICOLAE, R.)

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The load forecasting problem is very important for every distribution system operator. The network evolution, associated behavior, related policies, etc. are correlated with this subject. Thepaper is focusing on monthly load curves forecasting. Artificial intelligence based methods such as artificial neural networks and also conventional methods are appliedin order to perform the forecast. A comparison is accomplished in order to provide thebest approach. To achieve this goal several indices have been computed and...

Ecology and Environmental Protection2018
Showing 1-3 of 3 records
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