An overview of security and privacy in smart cities' IoT communications

F Al‐Turjman, H Zahmatkesh… - Transactions on …, 2022 - Wiley Online Library
Smart cities have brought significant improvements in quality of life and services to citizens
and urban environments. They are fully enabled to control the physical objects in real time …

Security and privacy in smart cities: Challenges and opportunities

L Cui, G Xie, Y Qu, L Gao, Y Yang - IEEE access, 2018 - ieeexplore.ieee.org
Smart cities are expected to improve the quality of daily life, promote sustainable
development, and improve the functionality of urban systems. Now that many smart systems …

Big data and artificial intelligence based early risk warning system of fire hazard for smart cities

Y Zhang, P Geng, CB Sivaparthipan… - … Energy Technologies and …, 2021 - Elsevier
Driven by information technology, big data provides new development opportunities for city
construction. People use multiple scientific advancements such as the Internet of Things …

A survey of smart parking solutions

T Lin, H Rivano, F Le Mouël - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
Considering the increase of urban population and traffic congestion, smart parking is always
a strategic issue to work on, not only in the research field, but also from economic interests …

Sensors for sustainable smart cities: A review

MA Ramírez-Moreno, S Keshtkar, DA Padilla-Reyes… - Applied Sciences, 2021 - mdpi.com
Experts confirm that 85% of the world's population is expected to live in cities by 2050.
Therefore, cities should be prepared to satisfy the needs of their citizens and provide the …

A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources

S Yang, W Ma, X Pi, S Qian - Transportation Research Part C: Emerging …, 2019 - Elsevier
A deep learning model is adopted for predicting block-level parking occupancy in real time.
The model leverages Graph-Convolutional Neural Networks (GCNN) to extract the spatial …

Big data analytics: Computational intelligence techniques and application areas

R Iqbal, F Doctor, B More, S Mahmud… - … Forecasting and Social …, 2020 - Elsevier
Big Data has significant impact in developing functional smart cities and supporting modern
societies. In this paper, we investigate the importance of Big Data in modern life and …

Parking occupancy prediction method based on multi factors and stacked GRU-LSTM

C Zeng, C Ma, K Wang, Z Cui - Ieee Access, 2022 - ieeexplore.ieee.org
With the development of society and the continuous advancement of urbanization, motor
vehicles have increased rapidly, which exacerbates the imbalance between parking supply …

An IoT based efficient multi-objective real-time smart parking system

H Mohapatra, AK Rath - International journal of sensor …, 2021 - inderscienceonline.com
The improper parking invites many negative side effects on urban roads. In this work, we
propose a unique smart parking analyst (SPA) model for adequate parking. The SPA …

A deep learning model for air quality prediction in smart cities

İ Kök, MU Şimşek, S Özdemir - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
In recent years, Internet of Things (IoT) concept has become a promising research topic in
many areas including industry, commerce and education. Smart cities employ IoT based …