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 …

Smart buildings, integral components of modern urban landscapes, are confronted with
diverse vulnerabilities that jeopardize system robustness, cybersecurity, data confidentiality …

Given the escalating concerns posed by climate change-related disasters, there is an urgent
need for a more sustainable and resilient built environment. The developing digital …

As energy efficiency and sustainability become paramount in the face of growing
urbanization and environmental concerns, predictive energy management in smart buildings …

Buildings account for a significant portion of total energy consumption, and the introduction
of intelligent buildings represents a significant step forward in efficiently managing energy …

This paper examines business model implementations in three leading European smart
cities: London, Amsterdam, and Berlin. Through a systematic literature review and …

Smart buildings play a key role in the complex ecosystem of cities and are often subject to
barriers that limit their development. Although identifying these barriers is fundamental to …

Purpose This study proposes an assessment framework for improving smart building
performance in the broader context of smart city development, considering dimensions like …

This study proposes a deep learning model utilizing the BACnet (Building Automation and
Control Network) protocol for the real-time detection of mechanical faults and security …

The introduction of Fog computing to the traditional Cloud computing architecture addresses
the limitations of Cloud computing by optimising resource efficiencies such as energy …