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The importance of sales forecasting is fundamental in the agro-alimentary chain, because itallows a suitable integration of suppliers and the costumer satisfaction either they are internal oexternal. In this paper the te...

Abstract This study examines the effect of financial literacy on the performance of small and medium-sized enterprises (SMEs) in Mogadishu, Somalia, a fragile and post-conflict economy. Grounded in Human Capital Theory, ...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

This study aims to systematically analyze the new characteristics, evolution trends, and causes of major extreme weather in China in the context of global climate change, and evaluate the current forecasting, early-warni...

Urban analytics has emerged as a transformative tool for addressing the challenges of urbanization and fostering sustainable smart cities. Despite its growing significance, a gap remains in the literature on integrating ...

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 This paper deals with the treatment of trend seasonality of time series by using the method of exponential smoothing, indeed the triple exponential method (Winter's Method) which includes two procedures of anal...

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...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

Abstract Introduction Tuberculosis (TB) affects over 10 million people worldwide annually, is difficult to treat, and is a major cause of death. The M72/AS01E candidate vaccine is the first vaccine in over 100 years wit...

Radiative sky cooling reduces the temperature of a system by promoting heat exchange with the sky; its key advantage is that no input energy is required. We will review the origins of radiative sky cooling from ancient t...

With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...

Increasing and changing customer demand every day requires companies to be more detailed in planning strategies to increase sales every day, characterized by the need to produce relevant reports, every company must have ...

To overcome the limitations of traditional models to simulate discrete environmental variables, this study introduces a novel, integrated simulation framework: the Spatio-Temporal Integrated Geographic Generative Adversa...

Thermal traits knowledge is elemental to forecasting the impacts of environmental change on lizard diversity. Daily and seasonal environmental temperature fluctuations are amplified in desert and semi-desert species. As ...

PurposeRadical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are questionable. This is particularly true...

Abstract Accurate and reliable wind power forecasting models are essential for the optimal dispatch of power systems. However, existing methods still face several challenges, including ineffective signal decomposition, l...

Abstract The storage and retrieval of wave spectra for boundary conditions in nested wave modeling are computationally intensive due to the substantial storage requirements of each spectrum. A recently developed method (...

Abstract Interannual variability in the runoff ratio—how much annual precipitation becomes streamflow—underpins water management, flood forecasting, and biogeochemical fluxes. In most hydrologic frameworks, this vari...

Following the path opened by PIATIER (France), LANGELÜTRE (Germany) and TAGLIACARNE (Italy), the author reviews the various methods of business cycle forecasting: barometers, abstract models, economic accountancy, test,...

Fil: Celis, Alejandra. Centro de Estudios Sociales y Ambientales; Argentina. Fil: Forni, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Sociales; Argentina. ...

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...

El presente trabajo tiene como objetivo "diseñar e implementar un modelo de forecasting que permita predecir la calidad del aire que ingresa a la turbina de gas con la anticipación suficiente para poder actuar ante des...

"Durante los pasados 20 años, el mercado Argentino atravesó una etapa de crecimiento, pero bajo un escenario de gran incertidumbre, donde los riesgos no diversificados, derivados de factores políticos y socioeconómic...