[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 …

How can artificial intelligence impact sustainability: A systematic literature review

AK Kar, SK Choudhary, VK Singh - Journal of Cleaner Production, 2022 - Elsevier
We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …

The sustainability of artificial intelligence: An urbanistic viewpoint from the lens of smart and sustainable cities

T Yigitcanlar, F Cugurullo - Sustainability, 2020 - mdpi.com
The popularity and application of artificial intelligence (AI) are increasing rapidly all around
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …

Urban digital twin challenges: A systematic review and perspectives for sustainable smart cities

C Weil, SE Bibri, R Longchamp… - … Cities and Society, 2023 - ui.adsabs.harvard.edu
Recent scientific and technological advancements have transformed the knowledge
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …

Machine learning algorithms to forecast air quality: a survey

M Méndez, MG Merayo, M Núñez - Artificial Intelligence Review, 2023 - Springer
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is
important to develop forecasting mechanisms that can be used by the authorities, so that …

[HTML][HTML] Adopting artificial intelligence in sustainable business

J Sipola, M Saunila, J Ukko - Journal of Cleaner Production, 2023 - Elsevier
Artificial intelligence (AI) in sustainable businesses has attracted interest in various
industries. However, research on the sustainable adoption of AI is scarce. The present …

Air quality prediction using CNN+ LSTM-based hybrid deep learning architecture

A Gilik, AS Ogrenci, A Ozmen - Environmental science and pollution …, 2022 - Springer
Air pollution prediction based on variables in environmental monitoring data gains further
importance with increasing concerns about climate change and the sustainability of cities …

A Systemic Review of Urban Digital Twin Challenges, and Perspectives for Sustainable Smart Cities

C Weil, SE Bibri, R Longchamp, F Golay… - Sustainable Cities and …, 2023 - Elsevier
Recent scientific and technological advancements have transformed the knowledge
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …

Exploring circular digital economy strategies for sustainable environmental, economic, and educational technology

A Wilson, R Kask, LW Ming - International Transactions on …, 2024 - journal.pandawan.id
This research explores the strategic implementation of digital economy principles to achieve
environmental sustainability and economic prosperity, utilizing the SmartPLS method. In an …

Development of air quality monitoring (AQM) models using different machine learning approaches

C Amuthadevi, DS Vijayan… - Journal of Ambient …, 2021 - Springer
Air Quality assessment and forecasting are the essentials today and they attracted many
researchers. Environmental organizations regularly monitor and predict the air contaminants …