In the study of image and vision computing, the generalization capability of an algorithm
often determines whether it is able to work well in complex scenes. The goal of this review …

As the spatial carrier of carbon emission from land ecosystems and human activities, land
use plays an important role in representing the spatial distribution of carbon emissions and …

In the area of computer vision, deep learning has produced a variety of state-of-the-art
models that rely on massive labeled data. However, collecting and annotating images from …

Big Data: Analysen zum digitalen Wandel von Wissen, Macht und Ökonomie Ramón
Reichert (Hg.) Big Data Digitale Gesellschaft Page 2 Page 3 Ramón Reichert (Hg.) Big Data …

Federated learning has shown exceptional usability in diverse domains, such as IoT,
healthcare, FinTech, Insurance Sector and other Industries and Technologies. In numerous …

The impact of the urban morphology on greenhouse gas emission is one of the key issues
on global climate change. Since the urban form is directly related to the spatial distribution of …

To build sustainable smart energy cities (SECs) around the world, many countries are now
combining customized services and businesses within their energy infrastructure and urban …

Abstract Virtual Learning Environments (VLEs) are spaces designed to educate student
groups remotely via online platforms. Although traditional VLEs have shown promise in …

In architecture and urban design, urban climate on is a strong design criterion for outdoor
thermal comfort and building's energy performance. Evaluating the effect of buildings on the …

Sedentary behaviour, including sitting in motorised vehicles, has been linked with negative
physical and psychological health repercussions, even in sufficiently physically active …