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    AN ESTIMATION OF POPULATION REPLACEMENT PROSPECTS IN UKRAINE IN THE CONTEXT OF THE SECOND DEMOGRAPHIC TRANSITION by Z. Palian

    Published 2014-04-01
    “…The scenarios of medium-term forecasts the demographic behavior of Ukrainian population has been carried out. …”
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    Article
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    Прогнозирование уровня смертности от инфекции Mpox в Африке с использованием гибридного подхода by Djillali Seba

    Published 2025-06-01
    “…By combining a denoising technique with ARIMA and integrating Singular Spectrum Analysis (SSA) with the ARIMA model, the SSA-ARIMA model demonstrates the best performance.Conclusion: Forecasting the Infection Fatality Rate with an appropriate model provides a deeper understanding of this phenomenon, enabling authorities to effectively control and manage the risks associated with Mpox.…”
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  6. 1566

    Managing Operational Efficiency and Reducing Aircraft Downtime by Optimization of Aircraft On-Ground (AOG) Processes for Air Operator by Iyad Alomar, Diallo Nikita

    Published 2025-05-01
    “…At its heart, this study explores innovative forecasting models using time series analysis, time series modeling and binary classification to predict spare part usage, reduce downtime, and tackle the complexities of managing inventory for diverse aircraft fleets. …”
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    Automated Detection of coronaL MAss Ejecta origiNs for Space Weather AppliCations (ALMANAC) by Thomas Williams, Huw Morgan

    Published 2022-11-01
    “…These promising results give a solid foundation for future work, and will provide initial constraints to an automated CME alert and forecasting system.…”
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    Millets on the Global Stage: Exploring Export Opportunities for Asia by Harsh Saharan, Aditi Mathur, Anubhav Beniwal, I. P. Singh, Yashwant Singh Rathore

    Published 2025-07-01
    “…This study examines India’s millet export potential using the ARIMA model for forecasting and the Export Potential Indicator (EPI) for market analysis. …”
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    PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS by Andrii Tsemko, Maxym Matskiv

    Published 2025-03-01
    “…Adding additional price characteristics (at the opening, closing, and minimum price during this period) failed to eliminate the problem of forecast bias. The analysis of the results showed that the model is often based on the repetition of previous values, which indicates its limitations in capturing complex relationships in the data. …”
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    Spatio-Temporal Coupling and Forecasting of Construction Industry High-Quality Development and Human Settlements Environmental Suitability in Southern China: Evidence from 15 Provi... by Keliang Chen, Bo Chen, Wanqing Chen

    Published 2025-07-01
    “…Using panel data for 15 southern provinces (2013–2022), we applied the entropy method, coupling coordination model, Dagum Gini coefficient, spatial trend surface analysis, gravity model, and grey forecasting to evaluate current conditions and predict future trends. …”
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    Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR by Shihab Ahmad Shahriar, Yunsoo Choi, Rashik Islam

    Published 2025-02-01
    “…The GNN-TCNN demonstrated robust accuracy across short-term (days 1–7) and long-term (days 8–14) forecasts. This study advances wildfire risk assessment by combining descriptive analysis with hybrid modeling, offering a scalable and robust framework for FWI forecasting and proactive wildfire management amidst a changing climate.…”
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