[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 …
Big Data in Earth system science and progress towards a digital twin
The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …
physics-based models in an interactive computational framework that enables monitoring …
[HTML][HTML] 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 …
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …
[HTML][HTML] Scientific challenges in disaster risk reduction for the Sichuan–Tibet Railway
Abstract Traversing the Qinghai–Tibetan Plateau, the Sichuan–Tibet Railway is by far the
most difficult railway project in the world. The Qinghai–Tibetan Plateau features the most …
most difficult railway project in the world. The Qinghai–Tibetan Plateau features the most …
[HTML][HTML] 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 …
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …
Deploying artificial intelligence for climate change adaptation
Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …
change. This paper explores the connections between AI and climate change research as a …
[HTML][HTML] Machine learning in disaster management: recent developments in methods and applications
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
Exploring the role of artificial intelligence in building production resilience: learnings from the COVID-19 pandemic
The ever-happening disruptive events interrupt the operationalisation of manufacturing
organisations resulting in stalling the production flow and depleting societies with products …
organisations resulting in stalling the production flow and depleting societies with products …
[HTML][HTML] The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
[HTML][HTML] From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …
systems into emergency management and response, known as the Internet of Emergency …