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Nowadays, very large quantities of data are produced both individually and institutionally. These data must be preserved very well in order to be able to access and process them as needed. This situation necessitates data recovery services in possible disast…

According to the political economy theory and neoclassicists, institutional discrimination is one of the obstacles that we face in politics in modern countries. It is generally systematic and malicious. In doing so, patronage relationships come into play. Ec…

Determination of Qualified personnel is one of the most basic tasks of the human resources department of enterprises. Increasing industrialization and population increase the alternatives at the point of finding suitable workers. This makes it difficult to ass…

The performance and competitiveness of manufacturing companies depend on the production system and depend on the sustainability, productivity, reliability and protection of the expected functions of machinery and equipment in these systems. Their sustainable s…

The capitalist system’s entry of a crisis from the 70s has facilitated the "meta" of education, which first led to changes in the provision of educational services. Presentation of the education service at a price does not mean that the education is used for t…

In today’s developing world, capital needs, which are essential to fulfill an enterprise, still pose a problem despite the subsidies and special funds. The aim of this study is to analyze to what extent the subsidies of SMIDO in Tokat province, which is situa…

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

About 90% of world trade in transportation of goods is conducted via maritime transportation. An important operation area of maritime cargo transportation is ports. It is necessary to keep these ports secure where information and communication technologies a…

The integration of increasing renewable energy-based energy production into the existing electricity grid has become of great importance. The biggest difficulty to integration into the power grid is variability and discontinuity of wind energy. To deal with th…

This study develops the Political and Economic Vulnerability Score (PAVS), a composite index for assessing cross-country differences in macro-financial and institutional vulnerability. Drawing on publicly available World Bank data, the index combines 13 indica…

This paper explores how intra-day volatility behaves across different weekdays during periods of major financial stress, focusing specifically on the S&P 500 and NASDAQ-100 indices. The analysis spans two significant market disruptions—the 2008 Global Financia…

The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

This study presents a comparative analysis of post-earthquake recovery governance in Türkiye and Japan, focusing on the 1999 Kocaeli, 2011 Tōhoku, and 2023 Kahramanmaraş earthquakes. Employing qualitative document analysis and cross-case timeline mapping, it e…

Cities consume over two-thirds of the world’s energy and account for more than 70% of global CO₂ emissions. Given these negative impacts, cities are major contributors to climate change, one of the most pressing challenges of the 21st century. As dynamic organ…

Author research interest is using AI tools in learning in any field connected with education. In this study proposes the idea of how to make the educational process more flexible in the post-pandemic period using the Artificial Intelligence (AI) technologies. …

This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building…

This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…