Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…ABSTRACT Tropical cyclones (TCs) pose significant threats to life and property across global ocean basins, and forecasting their structural evolution, track, and intensity remains a major scientific challenge. …”
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Application research of wind profile radar in short-term heavy rainfall forecast of typhoon in Fujian Province by Zeng Jinyu, Lian Chenfang, Yin Siyu, Sun Chaofeng

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Study of Wind Characteristics and Key Monitoring Points for Traffic Control in Nanjiang Railway by Hongkai YAN, Xinmin PAN, Wenjun YE

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Prediction of Canopy Cover Loss in German Spruce Forests Using a Spatio-Temporal Approach by Samip Narayan Shrestha, Frank Thonfeld, Andreas Dietz, Claudia Kuenzer

Subjects: “…forecasting…”
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A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data by Mohamed El Amine Seghier Ben, Tam T. Truong, Christian Feiler, Daniel Höche

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Long-Term Care in Germany in the Context of the Demographic Transition—An Outlook for the Expenses of Long-Term Care Insurance through 2050 by Patrizio Vanella, Christina Benita Wilke, Moritz Heß

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Synthesis in the context of accounting by N. A. Boreiko, I. V. Matsiush

Subjects: “…accounting analysis…”
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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

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Scenario modelling of the impact of the dynamics of public debt on the gross regional product of Russian regions by I. V. Naumov, N. L. Nikulina

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Models for Predicting the Probability of Bankruptcy: Applying in Construction Companies by A. V. Voiko

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ASSESSMENT OF THE FINANCIAL CONDITION OF RUSSIAN BANKS AND WAYS TO IMPROVE by O. S. Dyakonova, N. V. Kovaleva

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Modeling the number of university graduates for the development of the economy of the Kemerovo region by T. V. Bobko, T. I. Efremkova, T. V. Petrova

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MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT by Coralia TANASUICA (ZOTIC), Mihai Daniel ROMAN

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GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer by Kang Han, Li Xu

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Inherent Complexity Research on the Bullwhip Effect in Supply Chains with Two Retailers: The Impact of Three Forecasting Methods Considering Market Share by Junhai Ma, Binshuo Bao, Xiaogang Ma

“…The bullwhip effect is measured, respectively, under the minimum mean squared error (MMSE), moving average (MA), and exponential smoothing (ES) forecasting methods. The effect of autoregressive coefficient, lead time, and the market share on a bullwhip effect measure is investigated by using algebraic analysis and numerical simulation. …”
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Big data analysis and changes in customer preferences in post-pandemic global tourism by N. A. Zamyatina

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System analysis and information processing to solve the problem of detecting breakdowns of computer information storage by N. M. Kodatsky, E. A. Revyakina, A. R. Gazizov

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The Impact of Lower Atmosphere Forecast Uncertainties on WACCM‐X Prediction of Ionosphere‐Thermosphere System During Geomagnetic Storms by Wonseok Lee, In‐Sun Song, Ja Soon Shim, Guiping Liu, Geonhwa Jee

“…The forecast runs show that errors in TEC compared to the analysis run appear in the equatorial region within 1–2 days after forecast starts with differences of about 10%. …”
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Spatio-temporal dynamics and trend forecasting of urban green high-quality development: An examination of 287 cities in China. by Tonghui Yu, Shanshan Jia, Xufeng Cui

“…It also forecasts the trajectory of UGHQD from 2021 to 2025. …”
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Soil moisture forecasting from sensors-based soil moisture, weather and irrigation observations: A systematic review by Iustina Ivanova

“…In this paper, we provide such methodology from analysis of state-of-the-art scientific articles presenting forecasting methods for soil moisture from sensor data. …”
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