Analysis and prediction of anthropogenic impact on the atmospheric air of an industrial city with the use of new geographic and mathematical approaches von Bunyakova, Yu.Ya., Glushkov, A.V.

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Deeplearning-based approach to improving numerical weather forecasts von Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.

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APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER von Basok , B., Novitska, M., Zurian , O., Sylniahin , M., Davydenko , D.

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About geological theory von Gordienko, V.V.

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Methodical approach to determining the predictive structure of the consumption of primary fuel von Maliarenko O.Ye.

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What could we have learnt from the previous flood data to predict losses caused by the 1980, 1986, and 1998 catastrophic floods in Ukrainian Transcarpathian? von Stefanyshyn, Dmytro V.

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Analyses of automated machine learning tools for application in marketing von Nikonov, O.V.

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Method for control by orbital spacecraft magnetic cleanliness based on multiple magnetic dipole models with consideration of their uncertainty von Kuznetsov, B. I., Nikitina, T. B., Bovdui, I. V., Chunikhin, K. V., Kolomiets, V. V., Kobylianskyi, B. B.

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NEURAL NETWORK MODELING IN PROBLEMS OF PREDICTION MODES OF ELECTRICAL GRIDS von Moroz, A. N., Cheremisin, N. M., Cherkashina, V. V., Kholod, A. V.

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Testing a numerically-analytical method for prediction design maxima discharges of floods using plotting position formulas: the river Uzh case, the “Uzhhorod” gauging station data... von Stefanyshyn, Dmytro V.

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Earthquake forecasting by the results of the seismic signal trend analysis von Nagornyi, V. V.

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Big Data Analytics: principles, trends and tasks (a survey) von Balabanov, O.S.

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Neuromeerage assessment of magnitudies and parameters of localization earthquake sources by initial characters recording a seismic signal von Lazarenko, M. A., Gerasimenko, O. A., Ostapchuk, N. M., Shipko, N. L.

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Method for prediction magnetic silencing of uncertain energy-saturated extended technical objects in prolate spheroidal coordinate system von Kuznetsov, B. I., Kutsenko, A. S., Nikitina, T. B., Bovdui, I. V., Chunikhin, K. V., Kolomiets, V. V.

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Using machine learning methods to improve the efficiency of the cosmetological services administration process von Zakharova, O.V., Spektorovska, L.O.

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Tasks and methods of Big Data analysis (a survey) von Balabanov, O.S.

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Fractional-based iterative learning-optimal model predictive control of speed induction motor regulation for electric vehicles application von Nemouchi, B., Rezgui, S. E., Benalla, H., Nebti, K.

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Situational predictive modelling of the flood hazard in the Dniester river valley near the town of Halych von Stefanyshyn, Dmytro V., Korbutiak, Vasyl M., Stefanyshyna-Gavryliuk, Yulija D.

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Information technologies for automation of hyddrophisical situation molelling and forecasting in the Black Sea region von Shyptsov, Oleksandr A., Gordeev, Anton Yu., Lebid, Oleksii H., Okhariev, Viacheslav O., Telychko, Roman I., Fedoseienkov, Sergiy H., Shundel, Oleksiy I.

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Seismoelectromagnetism and spatio-temporal structures von Shuman, V.

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