Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

In the dynamic landscape of sustainable smart cities, emerging computational technologies
and models are resha** data-driven planning strategies, practices, and approaches …

Emerging smarter eco-cities, inherently intertwined with environmental governance, function
as experimental sites for testing novel technological solutions and implementing …

Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …

Growing complexity and vulnerability of global supply chains have led to significant
challenges in supply chain functionality. Organizations face shortages, out-of-stock …

This research presents key factors influencing smart building integration into smart cities
considering the city as a technological system. This paper begins with an overview of the …

This study examined the efficacy of artificial intelligence (AI) technologies in predictive risk
assessment and their contribution to ensuring business continuity. This research aimed to …

Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Background. Higher education in this digital era is faced with significant changes, especially
with the development of artificial intelligence (AI) technology. Purpose. This research aims to …

Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living
standards, facilitating the rapid expansion of urban areas while efficiently managing …