This paper surveys recent research on the use of sensor networks, communications and
computer systems to enhance the human outcome of emergency situations. Areas covered …

In this article the authors evaluate the impact of different sectors of information and
communication technologies (ICT) on energy consumption and CO2 emissions. ICT is …

Cyber-physical systems that include human beings and vehicles in a built environment, such
as a building or a city, together with sensor networks and decision support systems have …

The increasingly wide application of Cloud Computing enables the consolidation of tens of
thousands of applications in shared infrastructures. Thus, meeting the QoS requirements of …

We describe a distributed simulation tool which addresses the unique needs for the
simulation of emergency response scenarios. The simulation tool adopts the multi-agent …

Os profissionais, pesquisadores, educadores e estudantes com atuação e interesse na área
de Realidade Virtual (RV), e mais recentemente Realidade Aumentada (RA), vêm …

Evacuation modeling offers challenging research topics to solve problems related to the
development of emergency planning strategies. In this paper, we built an agent-based …

This paper introduces techniques for Deep Learning in conjunction with spiked random
neural networks that closely resemble the stochastic behaviour of biological neurons in …

The frequency, destruction and costs of natural and human-made disasters in modern highly-
populated societies have resulted in research on emergency evacuation and wayfinding …

The random neural network (RNN) is a recurrent neural network model inspired by the
spiking behaviour of biological neuronal networks. Contrary to most artificial neural network …