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Abstract Achieving sustainable economic growth in resource-dependent economies is vital to balancing competitiveness, attracting investment, and improving environmental performance. This study examines the asymmetric eff...

Options trading is a type of financial trading that can offer significant profit opportunities depending on market conditions, but its profit and loss structure is complex. Traditional trading decisions are often made ba...

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...

Time-series forecasting is fundamental to decision-making across numerous domains; however, systematic temporal delays in predictions remain a largely overlooked or unrecognised phenomenon. This phenomenon occurs when fo...

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...

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...

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...

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,...

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...

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...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

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...

Abstract Background Many cardiovascular (CV) medicines are required for long term. However, with their limited resources, low- and middle-income countries (LMICs) may have challenges with access to cardiovascular medici...

Abstract This research proposes an innovative Arabic financial forecasting model that integrates linguistic relation extraction with advanced deep learning and machine learning techniques. The framework combines Arabic O...

This study examines whether active learning activities based on time series forecasting for engineering students yield statistically significant improvements with respect to performance and engagement. In this context, a...

ABSTRACT: Background: Lip and oral cavity cancer (LOCC) remains a significant issue in Europe, with an uneven public health burden. While trends have shifted, regional and sex-specific disparities persist due to modifia...

Abstract To address the limitations of existing oil-well production forecasting models, particularly suboptimal hyperparameter selection, difficulties in fine-tuning, insufficient global search capability, and slow conve...

Abstract Researchers face difficulties in studying the effects of driveline efficiency on car fuel economy via bench and road tests because of long working periods, high costs, and heavy workloads. To simplify the study ...

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...

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...

Forecasting is an estimate of future events on the basis of past time patterns and the use of policies for projections with past patterns. With forecasting, the company can make the right policy or decision for the raw m...

Interplanetary coronal mass ejections (ICMEs) are the manifestation of solar transient eruptions, which can significantly modify the plasma and magnetic conditions in the heliosphere. They are often preceded by a shock, ...

The success of an economy can bring significant benefits to a country and its society. One way to measure economic growth is by looking at the value of gross domestic product (GDP). The value of a country's GDP is influe...