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Abstract Biochar yield prediction plays a critical role in optimizing pyrolysis processes and advancing sustainable biomass utilization. This study introduces a hybrid machine learning framework that integrates Decision ...

The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raise...

Today, climate change has become a global crisis threatening not only the environment but also economic, social, and political systems worldwide. This situation necessitates the systematic analysis of both the drivers co...

The purpose of the article is to substantiate the role and determine the significance of controlling as an effective tool for managing entrepreneurial activities in the context of implementing the principles of corporate...

This article presents a comprehensive study of the current state, requirements, and development prospects of the data analyst and data scientist professions in the context of digital economic transformation and dynamic c...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

The growing incorporation of artificial intelligence into judicial processes has raised complex legal and constitutional questions worldwide. This article offers a comparative analysis of two significant legal developmen...

Moving towards a sustainable future, optimising energy systems and resources involves increasingly sophisticated decision-making processes that require balancing technical efficiency with societal, economic and environme...

Abstract Background In intensive care units, critically ill patients often require life-sustaining interventions. When these no longer benefit the patient, care is often transferred to end-of-life care. Family members ma...

Abstract Digital technologies and AI promise to optimise complex systems through data-driven decisions, predictive modelling, and anticipatory action. However, this optimisation imperative creates a fundamental paradox: ...

Municipal planning is a multidimensional decision-making process. Within this process, transparency is understood not only as access to information, but also includes the disclosure of evaluation standards, decision-mak...

With the rapid growth of electronic health records, medical imaging, and high-throughput omics data, precision oncology faces increasing demands for cross-modal information integration and complex clinical decision suppo...

Abstract The rapid adoption of encrypted communication protocols has raised privacy levels but has also dealt a significant blow to traditional intrusion detection systems that rely on payload inspection for anomaly dete...

Abstract Radio-Frequency Identification (RFID) is one of the leading enabling technologies of the Internet of Things (IoT) at low cost and high granularity scenarios. The cost of implementing IoT applications concerns th...

Healthcare systems operating under emergency and high-demand conditions face persistent challenges in coordinating medical personnel, managing critical documentation, and ensuring data security and regulatory compliance....

The research conducted developed a descriptive understanding of how the cognitive processes of risk assessment, problem solving, and decision making, as well as other supportive processes, are employed by pilots-in-comma...

In light of the intricate and evolving market landscape induced by globalisation and the health crisis, companies must swiftly respond to the actions of their competitors. Organisations seeking success must attentively...

In conditions of rapid change, the strategic stability of agricultural enterprises and the ability to innovate are key factors in ensuring regional economic stability and food security. The purpose of the article is to s...

Recent developments in sustainability policy and digital transformation have reshaped the operational environment of military logistics. European defense organizations increasingly rely on artificial intelligence to ...

The development of a circular economy is an important task for socially responsible politicians, scientists and businesses. Despite growing interest in this concept over the past decade, the implementation of circular bu...

The effectiveness, fairness and legitimacy of the Investor-State Dispute Settlement (ISDS) mechanism is the hallmark of a trust-based and justice-oriented legal framework for international investments. The jurisprudentia...

The determination of trends and prediction of stock prices is one of the main tasks of the MACD (Moving Average Convergence Divergence) and the RVI (Relative Volatility Index) indicators of the technical analysis. The re...

Artificial intelligence-supported online assessment and evaluation (AI-SOAE) systems have the potential to transform assessment and evaluation processes in higher education; however, there is a need for a comprehensive e...