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Abstract. The evaluation of forecast accuracy is one of the key instruments for assessing the reliability and practical value of analytical models applied by various institutions in the field of macroeconomic forecasting...

Abstract An interpretable deep inference forecasting model is designed to improve the forecasting capability of sea surface variables. By incorporating the air‐sea coupling mechanism as a dynamic constraint, the interp...

The article focuses on a comprehensive analysis and forecast of Ukraine’s foreign policy amid the profound transformations of the international system in the early 21st century. It explores the main trends, influencing...

Based on the analysis of media reports in January–February 2022 (up to 02/24/2022), the article reveals which forecasts of an all-out Russian invasion were prevalent before its beginning. Quantitative and qualitative a...

Abstract We investigate the skill of the fully initialized decadal forecasting system EC‐Earth3 in re‐forecasting the semiannual occurrence frequencies of synoptic‐scale atmospheric circulation types in the extratr...

Abstract Correlations between week‐long cosmic ray flux perturbations and terrestrial cloud cover have previously been identified. Still, uncertainty persists on whether the cloud response is due to a physical link inv...

Micro businesses play a crucial role in Argentina’s socioeconomic landscape, providing entrepreneurship opportunities and essential services across Buenos Aires. However, these businesses often have a high failure rate...

The article is devoted to methodological and practical dimensions of statistical assessment of the effect, efficiency, and intensity of the hotel & tourism industry in Ukraine. The aggravated social and economic crisis,...

Selected aspects of methodological developments in socio-economic research are addressed from a conceptual perspective, with outlining the areas of transformations in methodology, and illustrating the feasibilities of it...

This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

Pharmaceutical technology has increasingly integrated artificial intelligence (AI) in recent years. This technology offers significant benefits, including saving time and money while enhancing the understanding of the re...

Climate change presents significant challenges to ecosystems, economies, and societies globally. In Malaysia, a tropical country highly dependent on its natural resources, the impacts are evident in altered rainfall patt...

The article is devoted to the issue of economic justification for management decisions on tax planning at Ukrainian enterprises. The research objective is to elaborate an approach to comparative analysis of tax alternati...

Anticipating labour supply and demand remains relevant due to significant transformations in the labor market caused by socio-economic, demographic, and technological factors. In addition, infrastructure destruction, job...

The COVID-19 pandemic has placed enormous strain on providing health care services internationally while reinforcing the argument for the need to strengthen forecasting techniques. Existing forecasting methods have drawb...

Abstract Proposed research presents a data-driven framework for forecasting municipal solid waste (MSW) generation and emission dynamics in Erode City, India, by employing supervised machine learning algorithms. Leveragi...

Micro enterprises are vital to Argentina’s economy but often face sustainability challenges due to limited forecasting capabilities. This study explores how micro business owners in Buenos Aires predict short-term outc...