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1581
Optimal Configuration of Physical Process Parameterization Scheme Combination for Simulating Meteorological Variables in Weather Research and Forecasting Model: Based on Orthogonal...
Published 2024-11-01“…The weather research and forecasting (WRF) model is frequently used to investigate the meteorological field around nuclear installations. …”
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Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework
Published 2025-08-01“…To bridge the gap between pure data-driven learning and physical realism, a Physics-Informed Neural Network was subsequently integrated to combine data-driven learning with physical constraints, using both observational data and physics-based synthetic datasets. Comparative analysis revealed that ML models deliver superior speed and accuracy for operational forecasting, while the PINN framework maintains physical consistency with competitive predictive performance. …”
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1583
Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari...
Published 2024-12-01“…Our analysis was based on the years 2000, 2010, and 2020. …”
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1584
A Comparative Study of CO2 Emission Forecasting in the Gulf Countries Using Autoregressive Integrated Moving Average, Artificial Neural Network, and Holt-Winters Exponential Smooth...
Published 2021-01-01“…Forecasting is the process of making predictions based on past and present data, with the most common method being trend analysis. …”
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1585
An Enhanced Interval Type-2 Fuzzy C-Means Algorithm for Fuzzy Time Series Forecasting of Vegetation Dynamics: A Case Study from the Aksu Region, Xinjiang, China
Published 2025-06-01“…To overcome these limitations, this study enhances the interval type-2 fuzzy clustering time series (IT2-FCM-FTS) model by developing a pixel-level time series forecasting framework, optimizing fuzzy interval divisions, and extending the model from unidimensional to spatial time series forecasting. …”
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THE IMPACT OF THE PRESIDENTIAL ELECTION ON IDX COMPOSITE PREDICTIONS USING LONG SHORT TERM MEMORY
Published 2024-10-01“…IDX Composite closing price forecasting was conducted using the bidirectional LSTM model to anticipate the impact. …”
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1589
Dynamic Black–Litterman Portfolios Incorporating Asymmetric Fractal Uncertainty
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A localized Environmental Scanning Model Tailored to Scanning Urban Crises for the Tehran Municipality
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1592
Optimizing Flight Delay Predictions with Scorecard Systems
Published 2025-05-01“…Traditional prediction methods often rely on complex statistical analysis and mathematical models that may not be easily implementable. …”
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1593
Demographic Determinants of the Changes in the Student Population of the Lubelskie Voivodship
Published 2012-12-01“…This article presents the analysis of the demographic processes’ influence on the current and future number of students in the Lubelskie Voivodship — a region of the NUTS 2 level, located in eastern Poland, bordering on Byelorussia and Ukraine. …”
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A METHOD FOR DIAGNOSING ACUTE INTESTINAL INFECTIONS IN NEWBORN
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Cyclic Model and Map for Estimating Predictive Potential of Prognostic-Planning Methodology Development
Published 2021-01-01“…The purpose of the article is to assess the features of the development of the forecasting and planning methodology of the domestic national economy in various historical periods of time.Based on the analysis of historical facts, the author’s expert assessment and graphic modeling techniques, a cyclic model and a map for assessing the predictive development potential of the forecasting and planning methodology of the domestic national economy are developed, which differs by identifying the stages in the development of forecasted and planned work depending on the nature of the obligatory execution, the depth of the impact of forecasts and plans for economic development, resource methods, predictability of the future.The results of the study can be applied in the activities of government to improve the quality of forecasting and planning work, to determine the turning points of phase shifts in the development of the forecasting and planning methodology.…”
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Professional Identity and Trans-Perspective of Professional Development of Future Teachers
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SYNTHESIS OF THE TECHNICAL CONTROL SYSTEMS WITH VARIABLE STRUCTURE
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PERAMALAN SUHU UDARA DAN DAMPAKNYA TERHADAP KONSUMSI ENERGI LISTRIK DI KALIMANTAN TIMUR
Published 2020-10-01“…So it is necessary to forecast the temperature of air in order to predict the consumption of electrical energy in the future. …”
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