[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] 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 …

[HTML][HTML] The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: a comprehensive systematic review

SE Bibri, J Huang, SK Jagatheesaperumal… - Environmental Science …, 2024 - Elsevier
In the dynamic landscape of sustainable smart cities, emerging computational technologies
and models are reshaping data-driven planning strategies, practices, and approaches …

[HTML][HTML] Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance

SE Bibri, J Huang, J Krogstie - Sustainable Cities and Society, 2024 - Elsevier
Emerging smarter eco-cities, inherently intertwined with environmental governance, function
as experimental sites for testing novel technological solutions and implementing …

AI-based on machine learning methods for urban real estate prediction: a systematic survey

SCK Tekouabou, ŞC Gherghina, ED Kameni… - … Methods in Engineering, 2024 - Springer
The advanced urban digitization enhancing a huge volume of data collected in many areas
has led to the emergence of artificial intelligence (AI) based tools in decision support …

Towards human-AI collaborative urban science research enabled by pre-trained large language models

J Fu, H Han, X Su, C Fan - Urban Informatics, 2024 - Springer
Pre-trained large language models (PLMs) have the potential to support urban science
research through content creation, information extraction, assisted programming, text …

Leveraging AI techniques for predicting spatial distribution and determinants of carbon emission in China's Yangtze River Delta

W Zhang, W Yuan, W Xuan, Y Lu, Z Huang - Scientific Reports, 2024 - nature.com
This study focuses on the prediction and management of carbon emissions (CE) under the
backdrop of global warming, with a particular emphasis on developing spatial planning …

Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

S Tripathi, N Bachmann, M Brunner, Z Rizk… - Journal of Big Data, 2024 - Springer
Abstract The United Nations' 17 Sustainable Development Goals stress the importance of
global and local efforts to address inequalities and implement sustainability. Addressing …

Urban nature-based solutions planning for biodiversity outcomes: human, ecological, and artificial intelligence perspectives

V Prodanovic, PM Bach, M Stojkovic - Urban Ecosystems, 2024 - Springer
Nature-based solutions (NBS) harness ecosystem services for urban enhancement,
promoting biodiversity, habitat creation, and water management while improving human well …

Machine parameter optimization for sustainable machining of magnesium alloys: a review of current research gaps and opportunities

MA Saeed, F Junejo, I Amin - Advances in Materials and …, 2024 - Taylor & Francis
This review paper aims to analyse the research gaps and opportunities in machine
parameter optimisation for sustainable machining of magnesium alloys. The study …