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 …

Leveraging machine learning and big data for smart buildings: A comprehensive survey

B Qolomany, A Al-Fuqaha, A Gupta… - IEEE …, 2019 - ieeexplore.ieee.org
Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …

Eight grand challenges in socio-environmental systems modeling

S Elsawah, T Filatova, AJ Jakeman, AJ Kettner… - Socio-Environmental …, 2019 - par.nsf.gov
Modeling is essential to characterize and explore complex societal and environmental
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …

The prospects of artificial intelligence in urban planning

TW Sanchez, H Shumway, T Gordner… - International Journal of …, 2023 - Taylor & Francis
Over the past several decades, urban planning has considered a variety of advanced
analysis methods with greater and lesser degrees of adoption. Geographic Information …

Big data and the united nations sustainable development goals (UN SDGs) at a glance

H Hassani, X Huang, S MacFeely… - Big Data and Cognitive …, 2021 - mdpi.com
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …

Disruptive technologies in smart cities: a survey on current trends and challenges

LD Radu - Smart Cities, 2020 - mdpi.com
This paper aims to explore the most important disruptive technologies in the development of
the smart city. Every smart city is a dynamic and complex system that attracts an increasing …

[HTML][HTML] A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings

U Ali, MH Shamsi, M Bohacek, C Hoare, K Purcell… - Applied Energy, 2020 - Elsevier
Urban planners face significant challenges when identifying building energy efficiency
opportunities and developing strategies to achieve efficient and sustainable urban …

Smart mobility in the cloud: Enabling real-time situational awareness and cyber-physical control through a digital twin for traffic

H Xu, A Berres, SB Yoginath… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article presents the design, implementation, and use cases of the Chattanooga Digital
Twin (CTwin) towards the vision for next-generation smart city applications for urban mobility …

[HTML][HTML] Urban big data and the development of city intelligence

Y Pan, Y Tian, X Liu, D Gu, G Hua - Engineering, 2016 - Elsevier
This study provides a definition for urban big data while exploring its features and
applications of China's city intelligence. The differences between city intelligence in China …

Multiple dimensions of smart cities' infrastructure: A review

APP Kasznar, AWA Hammad, M Najjar… - Buildings, 2021 - mdpi.com
In recent years, there has been significant focus on smart cities, on how they operate and
develop, and on their technical and social challenges. The importance of infrastructure as a …