Edge technologies for disaster management: A survey of social media and artificial intelligence integration

M Aboualola, K Abualsaud, T Khattab, N Zorba… - IEEE …, 2023 - ieeexplore.ieee.org
Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …

[HTML][HTML] Research advancements in key technologies for space-based situational awareness

B Wang, S Li, J Mu, X Hao, W Zhu… - Space: Science & …, 2022 - spj.science.org
The space environment has become highly congested due to the increasing space debris,
seriously threatening the safety of orbiting spacecraft. Space-based situational awareness …

[HTML][HTML] SIMCD: SIMulated crowd data for anomaly detection and prediction

A Bamaqa, M Sedky, T Bosakowski, BB Bastaki… - Expert Systems with …, 2022 - Elsevier
Smart Crowd management (SCM) solutions can mitigate overcrowding disasters by
implementing efficient crowd learning models that can anticipate critical crowd conditions …

Enhancing cybersecurity using blockchain technology based on IoT data fusion

SJ Hsiao, WT Sung - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In this study, blockchain technology is used to strengthen the security of wireless sensing
data in the network architecture of the Internet of Things. For many organic farms that contain …

Sparking innovation in a crisis: an IoT sensor location-based early warning system for pandemic control

I Tasic, MD Cano - Applied Sciences, 2022 - mdpi.com
The COVID-19 pandemic has recently brought attention to several acute human needs.
However, it has also demonstrated how crisis can spark innovation in the context of …

Sensing technologies for crowd management, adaptation, and information dissemination in public transportation systems: A review

D Darsena, G Gelli, I Iudice, F Verde - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Management of crowd information in public transportation (PT) systems is crucial, both to
foster sustainable mobility, by increasing the user's comfort and satisfaction during normal …

[HTML][HTML] Non-contact multimodal indoor human monitoring systems: A survey

P Susarla, A Mukherjee, ML Cañellas, CÁ Casado… - Information …, 2024 - Elsevier
Indoor human monitoring systems are integral in various applications. They leverage a wide
range of sensors, including cameras, radio devices, and inertial measurement units, to …

Privacy-preserving quadratic truth discovery based on Precision partitioning

R Du, Z Liang, X Liang - Computers & Security, 2024 - Elsevier
Truth discovery technology is widely used in the field of data collection in crowdsourcing;
however, with the deepening of people's privacy awareness, ordinary truth discovery can no …

Ground pedestrian and vehicle detections using imaging environment perception mechanisms and deep learning networks

H Liu, S Chen, N Zheng, Y Wang, J Ge, K Ding, Z Guo… - Electronics, 2022 - mdpi.com
In order to build a robust network for the unmanned aerial vehicle (UAV)-based ground
pedestrian and vehicle detection with a small number of training datasets but strong …

Robust state estimation method for power system based on maximum exponential square and data fusion

T Yu, K Da, Z Wang, Y Ling, X Li, D Bin… - Frontiers in Energy …, 2022 - frontiersin.org
In order to solve the problem of the time offset between the supervisory control and data
acquisition system and phasor measurement unit and the unknown distribution of non …