A survey on an emerging area: Deep learning for smart city data

Q Chen, W Wang, F Wu, S De, R Wang… - … on Emerging Topics …, 2019 - ieeexplore.ieee.org
Rapid urbanization has brought about great challenges to our daily lives, such as traffic
congestion, environmental pollution, energy consumption, public safety, and so on …

A review on deep learning for future smart cities

S Bhattacharya, SRK Somayaji… - Internet Technology …, 2022 - Wiley Online Library
The advancements in Information and Communication Technologies (ICT) made the
concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are …

Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects

AN Muhammad, AM Aseere, H Chiroma… - Neural computing and …, 2021 - Springer
The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …

Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions

SB Atitallah, M Driss, W Boulila, HB Ghézala - Computer Science Review, 2020 - Elsevier
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …

Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

Enabling cognitive smart cities using big data and machine learning: Approaches and challenges

M Mohammadi, A Al-Fuqaha - IEEE Communications Magazine, 2018 - ieeexplore.ieee.org
The development of smart cities and their fast-paced deployment is resulting in the
generation of large quantities of data at unprecedented rates. Unfortunately, most of the …

Smart city system design: A comprehensive study of the application and data planes

H Habibzadeh, C Kaptan, T Soyata, B Kantarci… - ACM Computing …, 2019 - dl.acm.org
Recent global smart city efforts resemble the establishment of electricity networks when
electricity was first invented, which meant the start of a new era to sell electricity as a utility. A …

Smart City Data Science: Towards data-driven smart cities with open research issues

IH Sarker - Internet of Things, 2022 - Elsevier
Cities are undergoing huge shifts in technology and operations in recent days, and 'data
science'is driving the change in the current age of the Fourth Industrial Revolution (Industry …

When smart cities get smarter via machine learning: An in-depth literature review

SS Band, S Ardabili, M Sookhak… - IEEE …, 2022 - ieeexplore.ieee.org
The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …

Deep learning support for intelligent transportation systems

J Guerrero‐Ibañez… - Transactions on …, 2021 - Wiley Online Library
Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …