… computing tasks. Finally, we discuss the applications of urban computing including urban
planning, urban … (LBSNs), urban safety and security, and urban-environment monitoring. For …

… Nowadays, many urban computing methods based on deep learning have been put forward
… with the help of deep learning, especially in urban computing. However, urban big data is …

… -modal urban applications into seven types: urban planning, … of deep learning methods
with urban computing applications… Models (LLMs) and urban computing, postulating future …

… What are the representative applications in this domain, and how does an urban computing
system work? To address these issues, we formally coin urban computing in this article and …

… of machine-learning algorithms, … deep learning, and reinforcement learning, within the
context of spatiotemporal data. Rich examples are presented to show how these machine-learning …

… The concept of urban computing has been proposed to unlock the power of knowledge from
… computing and deep learning, we aim to effectively and accurately monitor and predict urban…

… To address these disadvantages, this paper proposes a novel urban street cleanliness
assessment approach using mobile edge computing and deep learning. First, the high-resolution …

… used by the citizens of urban areas is the smartphone. … for urban mobile big data integrating
an urban environment classification system. The proposed system utilizes a deep learning …

… , deep learning, in-memory computing, … urban transport system, including the metro
subsystem, and its various access and egress modes. The paper contributes novel deep learning …

… of urban appearance, in this paper, we introduce a new crowdsourced dataset of urban
appearance and a computer vision technique to rank street-level images for urban appearance …