|
|
|
|
|
Ioannis Nikolaou and Leonidas Anthopoulos
Contextual data are receiving increasing attention in Smart Cities as they enable the development and delivery of smart services for their citizens. The homogenization of contextual data flows has become an important topic for standardization bodies as t...
ver más
|
|
|
|
|
|
|
|
|
Xinyi Wang, Yixuan Xie, Linhui Xia, Jin He and Beiyu Lin
As Melbourne faces exponential population growth, the necessity for resilient urban planning strategies becomes critical. These strategies include mixed land use, density, diversity, and sustainable transportation through transit-oriented development (TO...
ver más
|
|
|
|
|
|
|
|
|
Daniel Barros, Isabela Almeida, Ariele Zanfei, Gustavo Meirelles, Edevar Luvizotto, Jr. and Bruno Brentan
Leakages in distribution networks reach more than 30% of the water supplied, entailing important risks for the water infrastructure with water contamination issues. Therefore, it is necessary to develop new methods to mitigate the amount of water wastes....
ver más
|
|
|
|
|
|
|
|
|
Neil S. Grigg
A comprehensive assessment of flood hazards will necessitate a step-by-step analysis, starting with hydrometeorological examinations of runoff and flow, followed by an assessment of the vulnerability of those at risk. Although bodies of knowledge about t...
ver más
|
|
|
|
|
|
|
|
|
Fotis Nikolaidis, Moysis Symeonides and Demetris Trihinas
Federated learning (FL) is a transformative approach to Machine Learning that enables the training of a shared model without transferring private data to a central location. This decentralized training paradigm has found particular applicability in edge ...
ver más
|
|
|
|