Human mobility data and analysis for urban resilience: A systematic review

M Haraguchi, A Nishino, A Kodaka… - … and Planning B …, 2022 - journals.sagepub.com
The impacts of disasters are increasing due to climate change and unplanned urbanization.
Big and open data offer considerable potential for analyzing and predicting human mobility …

PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning

Y Guo, F Liu, Z Cai, H Zeng, L Chen, T Zhou… - Proceedings of the ACM …, 2021 - dl.acm.org
Point-of-Interest (POI) recommendation is significant in location-based social networks to
help users discover new locations of interest. Previous studies on such recommendation …

Artificial intelligence-based semantic internet of things in a user-centric smart city

K Guo, Y Lu, H Gao, R Cao - Sensors, 2018 - mdpi.com
Smart city (SC) technologies can provide appropriate services according to citizens'
demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which …

LMM: latency-aware micro-service mashup in mobile edge computing environment

A Zhou, S Wang, S Wan, L Qi - Neural Computing and Applications, 2020 - Springer
Abstract Internet of Things (IoT) applications introduce a set of stringent requirements (eg,
low latency, high bandwidth) to network and computing paradigm. 5G networks are faced …

Joint optimization of delay and cost for microservice composition in mobile edge computing

F Guo, B Tang, M Tang - World Wide Web, 2022 - Springer
With the development of software technology, some complex mobile and Internet-of-Things
(IoT) applications can be constituted by a set of microservices. At present, mobile edge …

Lightweighted secure searching over public-key ciphertexts for edge-cloud-assisted industrial IoT devices

W Wang, P Xu, D Liu, LT Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
For the industrial Internet of Things (IIoT), public-key encryption with keyword search (PEKS)
is a type of applicable and promising encryption technique to maintain the data stored in …

Big data and emergency management: concepts, methodologies, and applications

X Song, H Zhang, R Akerkar, H Huang… - … Transactions on Big …, 2020 - ieeexplore.ieee.org
Recent decades have seen a significant increase in the frequency, intensity, and impact of
natural disasters and other emergencies, forcing the governments around the world to make …

Frequency resource allocation and interference management in mobile edge computing for an Internet of Things system

W Na, S Jang, Y Lee, L Park, NN Dao… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Internet of Things (IoT) systems are characterized by highly automated operating
environments, which comprise several IoT end devices (IDs) that generate vast amounts of …

Crowd sensing aware disaster framework design with IoT technologies

K Kucuk, C Bayilmis, AF Sonmez, S Kacar - Journal of Ambient …, 2020 - Springer
When a disaster occurs, a huge amount of inconsistent victim or damage information data is
received by many different sources. Disaster management systems achieve the completion …

Blockchain and edge computing–based architecture for participatory smart city applications

Z Khan, AG Abbasi, Z Pervez - Concurrency and Computation …, 2020 - Wiley Online Library
Smart cities aim to provide smart governance with the emphasis on gaining high
transparency and trust in public services and enabling citizen participation in decision …