A survey of emergencies management systems in smart cities

DG Costa, JPJ Peixoto, TC Jesus, P Portugal… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …

Federated Learning for Urban Sensing Systems: A Comprehensive Survey on Attacks, Defences, Incentive Mechanisms, and Applications

A Kapoor, D Kumar - IEEE Communications Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In recent years, advancements in Artificial Intelligence (AI), the Internet of Things (IoT) and
wireless technologies have propelled the evolution of smart cities. Urban sensing systems …

MPResiSDN: Multipath resilient routing scheme for SDN-enabled smart cities networks

SL Aljohani, MJF Alenazi - Applied Sciences, 2021 - mdpi.com
The number of smart cities is increasing rapidly around the world with the continuous
increase of governments' interest in exploiting Information and Communication …

Iot-based vibration sensor data collection and emergency detection classification using long short term memory (lstm)

CI Nwakanma, FB Islam, MP Maharani… - … in Information and …, 2021 - ieeexplore.ieee.org
In this paper, we used a vibration sensor known as G-Link 200 to collect real time vibration
data. The sensor is connected through the internet gateway and Long Short Term Memory …

Walk this way! An IoT-based urban routing system for smart cities

A Pimpinella, AEC Redondi, M Cesana - Computer Networks, 2019 - Elsevier
Future smart cities are expected to change radically the way people live, interact and move
in urban environments. This will be possible thanks to the massive amount of data that will …

Human body recognition based on the sparse point cloud data from MIMO millimeter-wave radar for smart home

X Zhou, X Meng, J Zheng, G Fang, T Guo - Multimedia Tools and …, 2024 - Springer
Human body recognition is widely used in smart home. The current mainstream perception
modalities, ie, camera and wearable device, are vulnerable under challenging lighting …

An iot platform for the development of low-cost emergencies detection units based on soft sensors

F Oliveira, DG Costa, F Assis - 2022 IEEE international smart …, 2022 - ieeexplore.ieee.org
For centuries, emergencies have been a recurring situation in cities. Natural or human-
induced emergency situations can cause infrastructural damages in cities, potentially …

The real-time elderly fall posture identifying scheme with wearable sensors

T Xu, W Sun, S Lu, K Ma… - International Journal of …, 2019 - journals.sagepub.com
The accidental fall is the major risk for elderly especially under unsupervised states. It is
necessary to real-time monitor fall postures for elderly. This paper proposes the fall posture …

Analysis of human mobility behavior in Smart Cities and Smart Environments: A systematic literature review and taxonomy

CEL Borges, JAS Aranda… - Journal of Smart Cities …, 2024 - journals.sagepub.com
The analysis of human mobility behavior through computational techniques finds
applications in various domains and provides valuable insights for urban planning …

Crowdsensing based prompt emergency discovery: a sequential detection approach

RF El Khatib, N Zorba… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
The growth in the number of smart devices has mobilized the rise of CrowdSensing (CS) as
an enabler of smart cities, where state-of-the-art technologies are utilized to improve citizens' …