[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

SE Bibri, J Krogstie, A Kaboli, A Alahi - Environmental Science and …, 2024 - Elsevier
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …

[HTML][HTML] Artificial intelligence for waste management in smart cities: a review

B Fang, J Yu, Z Chen, AI Osman, M Farghali… - Environmental …, 2023 - Springer
The rising amount of waste generated worldwide is inducing issues of pollution, waste
management, and recycling, calling for new strategies to improve the waste ecosystem, such …

[HTML][HTML] Opportunities and adoption challenges of AI in the construction industry: A PRISMA review

M Regona, T Yigitcanlar, B Xia, RYM Li - Journal of open innovation …, 2022 - mdpi.com
Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are
beginning to become apparent in all industries nowadays. The increased popularity of AI in …

[HTML][HTML] Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future

P Bradu, A Biswas, C Nair, S Sreevalsakumar… - … Science and Pollution …, 2023 - Springer
This review gives concise information on green technology (GT) and Industrial Revolution
4.0 (IR 4.0). Climate change has begun showing its impacts on the environment, and the …

Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review

L Andeobu, S Wibowo, S Grandhi - Science of The Total Environment, 2022 - Elsevier
Solid waste generation and its impact on human health and the environment have long
been a matter of concern for governments across the world. In recent years, there has been …

[HTML][HTML] Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive …

SE Bibri, A Alexandre, A Sharifi, J Krogstie - Energy Informatics, 2023 - Springer
There have recently been intensive efforts aimed at addressing the challenges of
environmental degradation and climate change through the applied innovative solutions of …

Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong

T Yigitcanlar, RYM Li, PB Beeramoole, A Paz - Government Information …, 2023 - Elsevier
Despite the exponential growth in the popularity of artificial intelligence (AI), our knowledge
on the public perception of AI, especially in the context of local government services, is still …

[HTML][HTML] Computer vision applications for urban planning: A systematic review of opportunities and constraints

R Marasinghe, T Yigitcanlar, S Mayere… - Sustainable Cities and …, 2023 - Elsevier
Computer vision (CV) technology, a key subset of artificial intelligence, provides powerful
tools for extracting valuable insights from visual data, which is a crucial component for the …

Barriers to artificial intelligence adoption in smart cities: A systematic literature review and research agenda

AB Rjab, S Mellouli, J Corbett - Government Information Quarterly, 2023 - Elsevier
Artificial intelligence (AI) plays a prominent role in smart cities' development and offers
benefits to different services such as finance, healthcare, security, agriculture, transport …

[HTML][HTML] Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …