Balanced territorial development and improving living conditions have become the focus of
rural development policies. As the number of young people moving to cities or other …

The operation of the subway system necessitates a comprehensive understanding of
passenger flow characteristics at station locations, as well as a keen awareness of the …

The legal industry has seen a growing interest in the application of recommendation
systems to streamline various legal workflows and enhance decision-making processes …

This paper examines the impact of environmental stressors—specifically air quality, noise
pollution, and urban heat—on the subjective well-being of urban residents. As urbanization …

This paper examines the critical role of Explainable AI (XAI) in enhancing transparency in
emission reduction decision-making processes. As climate change poses an urgent global …

Air pollution is a global challenge with significant implications for public health and the
environment. Traditional pollution monitoring methods often suffer from limitations in spatial …

The escalating levels of carbon dioxide (CO2) in the atmosphere, primarily due to human
activities, pose significant challenges to global climate stability. CO2 hydrogenation …

This paper presents a predictive model designed to assess the likelihood of success for
announced mergers and acquisitions (M&A) by integrating financial data with natural …

This paper examines the integration of spatial Graph Neural Networks (GNNs) into supply
chain logistics to enhance demand forecasting accuracy and overall operational efficiency …

Deep learning, a rapidly advancing subfield of artificial intelligence, has emerged as a
transformative technology poised to revolutionize the field of medical diagnosis. This …