The convergence of deep learning and computer vision: smart city applications and research challenges

D Kothadiya, A Chaudhari, R Macwan… - … & Security (ICIIC …, 2021 - atlantis-press.com
In recent years, deep learning strategies started to outshine traditional machine learning
methods in a few fields, with Computer Vision being one of the most noticeable ones. The …

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 …

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 …

Smart traffic management system using deep learning for smart city applications

GM Lingani, DB Rawat… - 2019 IEEE 9th annual …, 2019 - ieeexplore.ieee.org
Already known as densely populated areas with land use including housing, transportation,
sanitation, utilities and communication, nowadays, cities tend to grow even bigger. Genuine …

A review on basic deep learning technologies and applications

T Patil, S Pandey, K Visrani - Data Science and Intelligent Applications …, 2020 - Springer
Deep learning is a rapidly developing area in data science research. Deep learning is
basically a mix of machine learning and artificial intelligence. It proved to be more versatile …

Technologies used in smart city applications–An overview

S Umamaheswari, KH Priya… - … on Advancements in …, 2021 - ieeexplore.ieee.org
In today's world, the human population is growing by the day. As the population grows, so
does the demand for technology. So, there is a necessity in implementing advanced …

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 …

The smart in smart cities: A framework for image classification using deep learning

R Al-Qudah, Y Khamayseh, M Aldwairi, S Khan - Sensors, 2022 - mdpi.com
The need for a smart city is more pressing today due to the recent pandemic, lockouts,
climate changes, population growth, and limitations on availability/access to natural …

Deep learning architectures for computer vision applications: a study

R Bagi, T Dutta, HP Gupta - Advances in Data and Information Sciences …, 2020 - Springer
Deep learning has become one of the most preferred solution for many complex problems. It
shows outstanding performance in the field of computer vision to perform tasks like, image …

Towards smarter cities: Learning from Internet of Multimedia Things-generated big data

P Bellavista, K Ota, Z Lv, I Mehmood, S Rho - Future Generation Computer …, 2020 - Elsevier
In today's technological era, smart devices connected through the IoT and giant IoT
infrastructures are playing a vital role in making daily life easier and simpler than it ever was …