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 …

Urbanization has dramatically transformed the landscapes of cities worldwide, often
resulting in a decline of natural environments and an increase in stressors that negatively …

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 …

Urban areas worldwide are grappling with significant challenges, including rapid
urbanization, environmental degradation, and socio-economic disparities. In response …

Blockchain technology and smart contracts have emerged as revolutionary tools with the
potential to transform various industries by providing decentralized, transparent, and secure …

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 explores the critical role of data collection and preparation in leveraging machine
learning techniques for predicting catalyst performance in CO2 hydrogenation processes. As …

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 introduces SummaGAN, a novel application of Generative Adversarial Networks
(GANs) for text summarization. Unlike traditional summarization methods that rely on …

In the modern industrial landscape, the integration of predictive maintenance (PdM) using
machine learning (ML) has become essential for optimizing plant efficiency and minimizing …