[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
How can artificial intelligence impact sustainability: A systematic literature review
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 …
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
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 …
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
Recent scientific and technological advancements have transformed the knowledge
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …
Machine learning algorithms to forecast air quality: a survey
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 …
important to develop forecasting mechanisms that can be used by the authorities, so that …
[HTML][HTML] Adopting artificial intelligence in sustainable business
Artificial intelligence (AI) in sustainable businesses has attracted interest in various
industries. However, research on the sustainable adoption of AI is scarce. The present …
industries. However, research on the sustainable adoption of AI is scarce. The present …
Air quality prediction using CNN+ LSTM-based hybrid deep learning architecture
Air pollution prediction based on variables in environmental monitoring data gains further
importance with increasing concerns about climate change and the sustainability of cities …
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
Recent scientific and technological advancements have transformed the knowledge
frontiers, giving rise to the next wave of disruptive technologies with deep impacts on urban …
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 …
environmental sustainability and economic prosperity, utilizing the SmartPLS method. In an …
Development of air quality monitoring (AQM) models using different machine learning approaches
Air Quality assessment and forecasting are the essentials today and they attracted many
researchers. Environmental organizations regularly monitor and predict the air contaminants …
researchers. Environmental organizations regularly monitor and predict the air contaminants …