Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Graph neural networks in IoT: A survey

G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai… - ACM Transactions on …, 2023 - dl.acm.org
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

An information framework for creating a smart city through internet of things

J **, J Gubbi, S Marusic… - IEEE Internet of Things …, 2014 - ieeexplore.ieee.org
Increasing population density in urban centers demands adequate provision of services and
infrastructure to meet the needs of city inhabitants, encompassing residents, workers, and …

Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and …

MN Kamel Boulos, B Resch, DN Crowley… - International journal of …, 2011 - Springer
Abstract'Wikification of GIS by the masses' is a phrase-term first coined by Kamel Boulos in
2005, two years earlier than Goodchild's term'Volunteered Geographic Information'. Six …

Recent advances in wearable sensing technologies

AJ Perez, S Zeadally - Sensors, 2021 - mdpi.com
Wearable sensing technologies are having a worldwide impact on the creation of novel
business opportunities and application services that are benefiting the common citizen. By …

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

K Datta, M Murphy, V Volkov, S Williams… - SC'08: Proceedings …, 2008 - ieeexplore.ieee.org
Understanding the most efficient design and utilization of emerging multicore systems is one
of the most challenging questions faced by the mainstream and scientific computing …

A framework for operative and social sustainability functionalities in Human-Centric Cyber-Physical Production Systems

M Pinzone, F Albè, D Orlandelli, I Barletta… - Computers & industrial …, 2020 - Elsevier
In a near future where manufacturing companies are faced with the rapid technological
developments of Cyber-Physical Systems (CPS) and Industry 4.0, a need arises to consider …

The Internet of People (IoP): A new wave in pervasive mobile computing

M Conti, A Passarella, SK Das - Pervasive and Mobile Computing, 2017 - Elsevier
Cyber–Physical convergence, the fast expansion of the Internet at its edge, and tighter
interactions between human users and their personal mobile devices push towardan …

User recruitment for mobile crowdsensing over opportunistic networks

M Karaliopoulos, O Telelis… - 2015 IEEE Conference …, 2015 - ieeexplore.ieee.org
We look into the realization of mobile crowdsensing campaigns that draw on the
opportunistic networking paradigm, as practised in delay-tolerant networks but also in the …

Using humans as sensors: an estimation-theoretic perspective

D Wang, MT Amin, S Li, T Abdelzaher… - … -14 proceedings of …, 2014 - ieeexplore.ieee.org
The explosive growth in social network content suggests that the largest “sensor network”
yet might be human. Extending the participatory sensing model, this paper explores the …