As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …

Street-level imagery has emerged as a valuable tool for observing large-scale urban spaces
with unprecedented detail. However, previous studies have been limited to analyzing …

Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …

In recent years, artificial intelligence (AI) and its subarea of deep learning have drawn the
attention of many researchers. At the same time, advances in technologies enable the …

The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Automated extraction of buildings from Earth observation (EO) data is important for various
applications, including updating of maps, risk assessment, urban planning, and policy …

Automated extraction of buildings from earth observation (EO) data has long been a
fundamental but challenging research topic. Combining data from different modalities (eg …

In the big data era, with the large volume of available data collected by various sensors
deployed in urban areas and the recent advances in AI techniques, urban computing has …

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