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1001
The Impacts of Assimilating Radar Reflectivity for the Analysis and Forecast of “21.7” Henan Extreme Rainstorm Within the Gridpoint Statistical Interpolation–Ensemble Kalman Filter System: Issues with Updating Model State Variables
Published 2025-01-01“…The 4 h deterministic forecasts based on the ensemble mean analysis demonstrate that updating all variables provides the best improvement in predicting the “21.7” Henan extreme rainstorm. …”
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1002
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1003
Global, regional, and national burden and risk factors of ischemic heart disease, 1990–2021: an analysis of the global burden of disease study
Published 2025-04-01Subjects: Get full text
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1004
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1005
Adaptation of k-means to automated forecasting of poorly structured time series of economic dynamics
Published 2025-02-01“…Thus, research in this area is urgent, as confirmed not only by the nature of the series, but also by the need to find more advanced methods of analysis and forecasting. The article provides preliminary analysis, additionally constructing a forecast based on a linear cellular automaton. …”
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1006
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1007
CHINESE RETAIL MARKET: REAL POTENTIAL TO BECOME THE GREATEST WORLDWIDE BEFORE 2020
Published 2015-12-01Get full text
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1008
Study of the multi-index coupling forecasting model of coal and gas outburst and its application
Published 2018-11-01Get full text
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1009
Using random forests to forecast daily extreme sea level occurrences at the Baltic Coast
Published 2025-03-01“…</p> <p>The method is purely data-driven and is trained with sea level data from the Global Extreme Sea Level Analysis (GESLA) dataset and from the meteorological reanalysis ERA5 of the European Centre for Medium-Range Weather Forecasts (ECMWF).…”
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1010
Artificial Intelligence in Data Science: Evaluating Forecasting Models for Solar Energy in the Amazon Basin
Published 2025-01-01“…Forecasting models employing machine learning (ML) and deep learning (DL) have become fundamental for assessing the technical feasibility of renewable energy systems. …”
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1011
Tools for forecasting regional economic growth using big data and business intelligence technologies
Published 2025-04-01“…The significance of the study is due to the increasing complexity of regional economic growth forecasting in the context of digital transformation and the limitations of traditional analysis methods. …”
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1012
Comparison and Forecasting of VaR Models for Measuring Financial Risk: Evidence from China
Published 2022-01-01“…Particularly, we find that the GARCH-GED model has the lowest forecasting failure rate in the class of GARCH models.…”
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1013
IMPLEMENTATION OF FUZZY TIME SERIES CHEN FOR FORECASTING INDONESIAN OIL AND GAS IMPORTS VALUE
Published 2023-06-01“…One of the newest methods of time series analysis used in this research is Fuzzy Time Series Chen method. …”
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1014
Analyzing Instagram Engagement to Forecast Domestic Tourist Trips in Lake Toba and North Sumatra
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1015
Method for Forecasting Transport Properties of Working Substances used in Industrial Thermal Power System
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1016
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1017
On the Techa’s reservoirs cascade influence on the long-term forecast of the Techa river radioactive contamination
Published 2016-10-01“…The aim of the article is the implementation of the modern radiation protection system to the existing or potential exposure situations of public residing near the Techa river and an analysis of possible features, events, and processes considered in the longterm forecasts performed in the field of public radiation safety. …”
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1018
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1019
Primordial gravitational waves as probe of dark matter in interferometer missions: Fisher forecast and MCMC
Published 2024-12-01“…Employing Fisher matrix forecast analysis, we identify the parameter space involving non-minimal coupling to gravity ξ, reheating temperature of the Universe T rh and DM mass M DM where the GW detector-sensitivities will be the maximum with the least error, along with SNR > 10. …”
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1020
Data-Driven Optimized Load Forecasting: An LSTM-Based RNN Approach for Smart Grids
Published 2025-01-01“…Accurate load forecasting is essential for ensuring the stability and efficiency of modern power systems, particularly in the context of increasing renewable energy integration. …”
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