Hydrogeological foundations of the usage of depleted pits areas by M. M. Tscherepansky, A. B. Obukhova

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Modeling of the stress-strain state in the earthquake epicenter area (Kumamoto Earthquake, Japan), 16.04.2016 M 7.3 by V. N. Morozov, A. I. Manevich

“…A structural-tectonic scheme of the Kumamoto earthquake area is used. An analysis of the results of SSS modeling has been done for the area 30x40 km before and after the earthquake. …”
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Comparison of artificial intelligence approaches for estimating wind energy production: A real-world case study by Mohamed Bousla, Mohamed Belfkir, Ali Haddi, Youness El Mourabit, Badre Bossoufi

“…The analysis utilizes temporal data obtained at 10-minute intervals over a span of two years from a wind farm located in Morocco. …”
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Assessment of Average Market Investment Returns in Development of the Residential Real Estate in the Moscow Region by S. G. Sternik, Ya. S. Mironchuk, E. M. Filatova

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Flood early warning for early action—evacuation and transfer: case of Shouchang Town, Zhejiang Province, China by Wellington W. Musyoka, Wellington W. Musyoka, Wang Jun, Anthony M. Mwanthi, Anthony M. Mwanthi, Ruth W. Kiarii

“…This study develops an integrated framework for flood forecasting and hydrodynamic floodplain mapping using HEC-HMS and HEC-RAS 6.5 over a 10 km stretch of the Shouchang River upstream of Shouchang Town. …”
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Water resource utilization and future supply–demand scenarios in energy cities of semi-arid regions by Dong Wang, Kai Li, Hengji Li, Yaozong Zhang, Tonglin Fu, Linchan Sun, Yun Wang, Jianxiang Zhang

“…Abstract Analyzing the characteristics of water resource utilization and forecasting future supply–demand dynamics are of great practical significance for water resource planning and allocation. …”
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Comparison of Machine Learning and Deep Learning Models Performance in predicting wind energy by Saswati Rakshit, Anal Ranjan Sengupta

“…This comprehensive analysis includes nine ML models—Linear Regression, Random Forests (RF), Gradient Boosting Machines (GBM), Support Vector Machines (SVM), K-Nearest Neighbors (KNN), AdaBoost, XGBoost, Support Vector Regression (SVR), and Neural Networks—as well as Four time-series forecasting models—ARIMA, Temporal Convolutional Networks (TCNs), Long Short-Term Memory (LSTM) networks and GRU. …”
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View of Military Epidemiologists on the Problem of Global Spread of a New Coronavirus Infection by A. A. Kuzin, E. V. Lantsov, A. P. Yumanov, A. S. Kucherov, S. V. Artebyakin, D. A. Zharkov, P. V. Kulikov, I. O. Volinkov, D. Yu. Pishugin

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An Analysis of the Influence of Fundamental Values' Estimation Accuracy on Financial Markets by Hiroshi Takahashi

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ECONOMIC ANALYSIS OF DEFORESTATION IMPACT ON THE YIELD OF AGRICULTURAL CULTURES IN UKRAINE by Ivan OPENKO, Oleksandr SHEVCHENKO, Ruslan TYKHENKO, Oleg TSVYAKH, Yanina STEPCHUK

“…General concept of the formation and functioning of a forecasting model of scientific and technological development of the region’s agriculture in the digital economy, which is forming in accordance with the well-known Federal program is proposed. …”
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Analysis of the height difference of the zero isotherm according to two temperature profilers by E. A. Bolelov, O. V. Vasiliev, K. I. Galaeva, S. A. Ziabkin

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Simulation Analysis and Experimental Research on Vacuum Freeze-drying of Pitaya by Zhang Tong, Yu Kezhi, Zhang Dezheng

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Organizational and methodological principles of stock analysis for enterprise management needs by N.V. Bondarchuk, A.V. Teneta

“…The model proposed in this paper can be described using the following stages: the forecast of future sales; the calculation of the required quantity of stocks to meet the needs of the forecast demand for manufactured products; the determination of the reserve stock amount and forecast of the volume of purchases of stocks in view of the above mentioned values; the compilation of an order portfolio and analysis of performance of the generated model. …”
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Air Quality Prediction in Beijing: Machine and Deep Learning Analysis by Das Shuvendu, Singh Karanvir, Kaur Kiranjeet

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Mathematical modeling and analysis of export trends for certain pharmaceutical groups by А. R. Shaikhislamova, N. А. Gasratova

“…The relative error of Model I does not exceed 10%, which makes it suitable for forecasting.Conclusion. The construction and analysis of specified models help to provide main information about the trends in pharmaceutical product exports in the RF and assess its potential in the global market. …”
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Deep-Learning Approach for an Analysis of Real-Estate Prices and Transactions by Cheng-Hong Yang, Borcy Lee, Yu-Da Lin

“…Research on the study of houses, condominiums and buildings in Taiwan’s metropolitan areas continues to be an important area of research. In real estate forecasting and analysis, methods such as statistical analysis and questionnaire data collection are widely used. …”
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APPLICATION OF HYPERBOLIC FUNCTIONS FOR ANALYSIS OF TAKEN DECISIONS IN ECOLOGICAL MANAGEMENT by S. A. Laptionok, S. V. Dorozhko, V. P. Bubnov, N. V. Arsiutkin

“…The paper provides examples of an analysis concerning the possibility to realize forecast targets in accordance with the given terms.…”
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Fractal Analysis of Dynamics of Coefficients of a Financial Standing of the Company by Irina Yurevna Motorina, Vladimir Anatolyevich Kurzenev

“…In the article the general analysis of emergence of bankruptcy is carried out, it is offered to forecasting of bankruptcy apply methods of the fractal analysis, which basis principle is self-similarity, alternative to the statistical analysis. …”
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ABOUT TECHNIQUE OF KEYNESIAN ANALYSIS FOR DYNAMIC PROCESSES IN THE ADVANCED ECONOMIES by U. T. Dzhamakeev

“…In this paper we present improved technique for application of Keynesian analysis to the forecasting of economic dynamics of the developed countries, which is illustrated by the example of theU.S.economy. …”
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ANALYSIS OF INNOVATION AND INVESTMENT ATTRACTIVENESS OF BUSINESS ENTITIES AT THE REGIONAL LEVEL by Anatoly Ivanovich Belousov, Elena Aleksandrovna Shelukhina

“…This article discusses the features of forecasting cash flow in enterprises during the period of innova- tion and investment cycle, taking into account the analysis of the production of indicators including the proce- dure of discounting, using the basic model of this method and introducing the concept of the terminal period to determine the terminal value in its entity.…”
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