Relevant research has investigated how predictive modeling algorithms, deep-learning-
based sensing technologies, and big urban data configure immersive hyperconnected …

Digital Twins for cities represent a new trend for urban and geospatial fields. Currently, some
DTs implementations are taking place. Nevertheless, the whole concept remains ambiguous …

The digital twin concept represents an appealing opportunity to advance condition-based
and predictive maintenance paradigms for civil engineering systems, thus allowing reduced …

Recent scientific and technological advancements have transformed the knowledge
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …

Understanding and enhancing local adaptive capacity is crucial for the sustainable
development of marine ecotourism. This research explores the adaptive capacities of local …

Artificial intelligence (AI) is increasingly proposed to address deficiencies across water
systems, which currently leave about 25% of the global population without clean water …

Recent scientific and technological advancements have transformed the knowledge
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …

To facilitate an effective, efficient, transparent, and timely decision-making process as well
as to provide guidelines for industry planning and public policy development, a conceptual …

Digital Twin (DT) technology presents a transformative approach to retrofitting practices, with
the potential of decarbonizing operating buildings (DOBs) by up to 30%. However, the …

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