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

Background: This article identifies and examines key performance indicators (KPIs) related
to citizen mobility logistics in smart and sustainable urban areas. It begins with a …

In this paper the importance of monitoring smart city with integration of sensors and Internet
of Things (IoT) is discussed with establishment of node control process. To describe the …

The aim of this systematic review is to synthesize and analyze networked and integrated
urban technologies, digital twin modeling tools, and spatio-temporal fusion algorithms. We …

Based on an in-depth survey of the literature, the purpose of the paper is to explore digital
twin modeling, multi-sensor data fusion techniques, and geo-spatial mapping and virtual …

This paper provides a systematic literature review of studies investigating algorithm-driven
sensing devices, urban analytics and data visualization tools, and geospatial mapping and …

The purpose of this study is to examine urban analytics tools, spatial computing and data
fusion technologies, and deep learning and neural network algorithms. In this article, I …

We draw on a substantial body of theoretical and empirical research on digital twin
modeling, urban sensing technologies and logistics, and big geo-spatial data analytics. In …

This paper focuses on security by design for smart city systems. Insecure smart city systems
may cause serious losses to the social, environmental and economic development of smart …

The 2023 climate change report states that the current temperature rise has led to recurring
and hazardous weather events, devastating communities and the planet. Ocean observation …