[HTML][HTML] Algorithmic urban planning for smart and sustainable development: Systematic review of the literature

TH Son, Z Weedon, T Yigitcanlar, T Sanchez… - Sustainable Cities and …, 2023 - Elsevier
In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …

Review on automated condition assessment of pipelines with machine learning

Y Liu, Y Bao - Advanced Engineering Informatics, 2022 - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures

T Yigitcanlar, R Mehmood, JM Corchado - Sustainability, 2021 - mdpi.com
Smart cities and artificial intelligence (AI) are among the most popular discourses in urban
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …

[HTML][HTML] Machine learning for spatial analyses in urban areas: a scoping review

Y Casali, NY Aydin, T Comes - Sustainable cities and society, 2022 - Elsevier
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

Musawah: a data-driven ai approach and tool to co-create healthcare services with a case study on cancer disease in Saudi Arabia

N Alahmari, S Alswedani, A Alzahrani, I Katib… - Sustainability, 2022 - mdpi.com
The sustainability of human existence is in dire danger and this threat applies to our
environment, societies, and economies. Smartization of cities and societies has the potential …

[HTML][HTML] Artificial intelligent technologies for the construction industry: how are they perceived and utilized in Australia?

M Regona, T Yigitcanlar, B Xia, RYM Li - Journal of Open Innovation …, 2022 - Elsevier
Artificial intelligence (AI) is a powerful technology that can be utilized throughout a
construction project lifecycle. Transition to incorporate AI technologies in the construction …

Analysis of the implementation of urban computing in smart cities: A framework for the transformation of Saudi cities

HM Alshuwaikhat, YA Aina, L Binsaedan - Heliyon, 2022 - cell.com
Smart city development is gaining widespread acceptance as a means of mitigating urban
development problems. However, the implementation of smart cities faces challenges …

A new distributed decomposition–reconstruction–ensemble learning paradigm for short-term wind power prediction

X Zhao, B Sun, R Geng - Journal of Cleaner Production, 2023 - Elsevier
The rapid and accurate forecast of wind power is crucial for power grid dispatching, because
wind power time series are frequently nonlinear and noisy. Currently, typical decomposition …

Detecting natural hazard-related disaster impacts with social media analytics: the case of Australian states and territories

T Yigitcanlar, M Regona, N Kankanamge, R Mehmood… - Sustainability, 2022 - mdpi.com
Natural hazard-related disasters are disruptive events with significant impact on people,
communities, buildings, infrastructure, animals, agriculture, and environmental assets. The …