SWS Academic Research eLibraryEarth & Planetary Sciences

Browse

Search Results

Now showing 1 - 3 of 3

Year: 2020Subject: artificial neural networksFiles: Metadata onlyclear all
Showing 1-3 of 3 records
1
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing
Publication

APPLICATION OF NEURAL FUZZY CONTROL TO ADAPT THE PHYSICAL LAYER OF A FLYING SENSOR NETWORK

(STEF92 Technology, 2020-09-20, Vasilyev, Gleb, Kuzichkin, Oleg, Surzhik, Dmitry)

Show more

Modern unmanned aerial vehicles (UAVs) are used to perform a wide range of flight tasks (military and civil), implemented both in autonomous flight mode and by remote control. One of the advanced technologies for their use is the organization of flying sensor networks (FSN). The quality of information exchange in FSN, widely used for monitoring of various natural and technical objects, depends significantly on the conditions of signal propagation and the level of external interference. A promising method for impro...

Informatics2020
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Ecology, Economics, Education and Legislation
Publication

METHOD OF FORECASTING THE AGRO-ECOLOGICAL STATE OF SOILS ON THE EXAMPLE OF THE SOUTH OF UKRAINE

(STEF92 Technology, 2020-09-20, Breus, Denys, Yevtushenko, Olga, Skok, Svetlana, Rutta, Olena)

Show more

Land resources are the main means of production and a factor of socio-economic development and ecological sustainability of environment[1]. The condition of soils is one of the main indicators of the ecological state of the territories, because of the direct impacts from internal factors, which are caused by the use of soils in agricultural production[2] and external influences caused by anthropogenic activities[3]. Unsatisfactory condition of the soil cover in Ukraine, which is confirmed in scientific works of th...

Ecology and Environmental Protection2020
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Energy and Clean Technologies
Publication

LONG TERM PREDICTION OF WIND SPEED WITH ARTIFICIAL NEURAL NETWORKS

(STEF92 Technology, 2020-09-20, Stavarache, Gheorghe, Novac, Valerian, Ciortan, Sorin, Rusu, Eugen)

Show more

The paper presents a methodology, based on artificial neural networks, for the offshore wind speed values long-term prediction. One of the most available renewable energy is the wind energy. The offshore wind turbines placement presents some benefits comparing with onshore one, like lower environmental impact and long-term stability of surroundings geometry. Of course, there are also drawbacks, like difficult set-up and maintenance or expensive transmission systems for the converted energy. Over all, the off-shore...

Ecology and Environmental Protection2020
Showing 1-3 of 3 records
1