Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data by Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Wentao Li

“…Finally, leveraging satellite data from the China Meteorological Data Service Centre, the proposed model is applied to satellite image analysis, weather forecasting, and HTPs, thereby validating its feasibility and effectiveness.…”
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Modeling the dynamics of key integrated indicators for the COVID-19 spread in St. Petersburg by P. V. Gerasimenko

“…The dynamics of infection, recovery and mortality in the region was analyzed based on the monitoring data of the Coordination Council to control the incidence of the novel coronavirus infection in St. Petersburg. The analysis showed that it was possible to quickly make a shortterm forecast for the pandemic spread based on the polynomial regression of integral indicators. …”
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Foresight in Civil Shipbuilding — 2030 by Yuri Dekhtyaruk, Igor Karyshev, Maria Korableva, Natalya Velikanova, Anastasia Edelkina, Oleg Karasev, Marina Klubova, Anna Bogomolova, Natalia Dyshkant

“…The study compiled a vision of the global shipbuilding’s future  based on the analysis of the expert community’s opinions, strategic documents, programmes, and forecasts. …”
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Application of PFI-4DVar Data Assimilation Technique to Nowcasting of Numerical Model by Jiang Wenjing, Liang Xudong

“…Considering that the prediction ability of numerical model improves with time, the nowcasting system should be based on numerical forecast model. And appropriate data assimilation technology can be used to produce a more accurate initial field, making the integral forecast results closer to the reality. …”
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Rebuilding Strategies for Food Self-Sufficiency: Portugal Past Patterns and Future Ambitions by Alexandre Macedo João, Dulce Freire, Humberto Rocha, Joana Dias

“…Using Multivariate Adaptive Regression Splines (MARS), which proved to be highly effective in the development of forecasting models, the research provides valuable insights for countries facing similar challenges in defining production strategies. …”
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Circular Economy: Municipal Solid Waste and Landfilling Analyses in Slovakia by Emese Tokarčíková, Mária Ďurišová, Terézia Trojáková

“…Furthermore, our findings include a short-term forecast for MSW generation in Slovakia for the next two years. …”
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Prospects for Survival of Covid Neologisms in Modern English by N. A. Voskresenskaya, O. O. Gulik

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A Modified Approach by Using Prediction to Build a Best Threshold in ARX Model with Practical Application by Juma et al.

“…The proposal of nonlinear models is one of the most important methods in time series analysis, which has a wide potential for predicting various phenomena, including physical, engineering and economic, by studying the characteristics of random disturbances in order to arrive at accurate predictions. …”
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The Current Situation with Individuals’ Crediting in the Russian Federation by E. V. Lapteva

“…The author also provided the results of forecasted volumes of credits to individuals up to 2024 by the trend equation with using possibilities of applied programs Statistica 8.0 package.…”
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Deep FS: A Deep Learning Approach for Surface Solar Radiation by Fatih Kihtir, Kasim Oztoprak

“…The prediction of solar radiation is a crucial aspect of solar energy applications and meteorological forecasting. The amount of solar radiation reaching Earth’s surface (Global Horizontal Irradiance, GHI) varies with atmospheric conditions, geographical location, and temporal factors. …”
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A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

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Recommendations on Raising Operative Efficiency of Budget Funds Use by M. E. Kosov, O. V. Makashina, O. V. Staroverova

“…In the research methods of systemic analysis and forecast were used. To prepare recommendations on raising operative efficiency data on revenues and expenses of budgets in the budget system of Russia in 2020–2024 were used. …”
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Using publicly available data for predicting socioeconomic values in urban context by Maximiliano Ojeda, Juan Reutter

“…Abstract Urban transportation networks are recognized for their pivotal role in forecasting city indicators and facilitating efficient planning and management. …”
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Modeling of trends in the development of demand for long-distance passenger transport, taking into account the peculiarities of its formation in the Russian Federation regions by E. A. Makarova, K. V. Surzhin, S. B. Elizarov, S. S. Morozov

“…Forecast of transport mobility of population is an important landmark in the development of passenger transport of JSC "Russian Railways". …”
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Timeseria: An object-oriented time series processing library by Stefano Alberto Russo, Giuliano Taffoni, Luca Bortolussi

“…Timeseria is an object-oriented time series processing library implemented in Python, which aims at making it easier to manipulate time series data and to build statistical and machine learning models on top of it. Unlike common data analysis frameworks, it builds up from well defined and reusable logical units (objects), which can be easily combined together in order to ensure a high level of consistency. …”
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Hurricane surge and inundation in the Bahamas, part 2: Flood risk assessment by Stephen Grey, Ye Liu, Jeffrey Simmons

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End-to-end technologies in financial controlling: corporate technology concept by O. N. Pakova, Yu. A. Konopleva, A. S. Khakirov

“…The concept of digital technologies for business is proposed - corporate technologies, the essence of which is to form a system of technologies for commercial organizations that allows financial managers to receive timely and complete information about changes in key performance indicators of the company, to make forecasts and scenarios for the development of future events. …”
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Oil Futures Dynamics and Energy Transition: Evidence from Macroeconomic and Energy Market Linkages by Xiaomei Yuan, Fang-Rong Ren, Tao-Feng Wu

“…This study investigates the macroeconomic and energy market determinants of oil futures prices through Granger causality, cointegration analysis, and the error correction model, using daily data. …”
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Predicting Ground-Level Enhancement Events and >500 MeV Proton Intensity Using Proton and Electron Observations by Marlon Núñez

“…Núñez et al. proposed a GLE occurrence predictor called the High Energy Solar Particle Events foRecastIng and Analysis (HESPERIA) University of Málaga Solar particle Event Predictor (UMASEP-500), which did not include a model for predicting the >500 MeV integral proton intensity. …”
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Long-Term Scenario of International Developments by A. I. Podberezkin, M. V. Kharkevich

“…This paper proposes an approach to long-term scenario building in international relations, based on the analysis of changes in the dialectics of war and peace. …”
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