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A survey on digital twin for industrial internet of things: Applications, technologies and tools
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …
Advancements and challenges of digital twins in industry
Digital twins, which are considered an effective approach to realize the fusion between
virtual and physical spaces, have attracted a substantial amount of attention in the past …
virtual and physical spaces, have attracted a substantial amount of attention in the past …
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 …
The environmental effects of the “twin” green and digital transition in European regions
S Bianchini, G Damioli, C Ghisetti - Environmental and Resource …, 2023 - Springer
This study explores the nexus between digital and green transformations—the so-called
“twin” transition—in European regions in an effort to identify the impact of digital and …
“twin” transition—in European regions in an effort to identify the impact of digital and …
Pushing the frontiers in climate modelling and analysis with machine learning
Climate modelling and analysis are facing new demands to enhance projections and
climate information. Here we argue that now is the time to push the frontiers of machine …
climate information. Here we argue that now is the time to push the frontiers of machine …
A global map of Local Climate Zones to support earth system modelling and urban scale environmental science
There is a scientific consensus on the need for spatially detailed information on urban
landscapes at a global scale. These data can support a range of environmental services …
landscapes at a global scale. These data can support a range of environmental services …
Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators
T Kurth, S Subramanian, P Harrington… - Proceedings of the …, 2023 - dl.acm.org
Extreme weather amplified by climate change is causing increasingly devastating impacts
across the globe. The current use of physics-based numerical weather prediction (NWP) …
across the globe. The current use of physics-based numerical weather prediction (NWP) …
[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …
environment, geological hazards tend to wreak havoc on the environment and human …
Potential and limitations of digital twins to achieve the sustainable development goals
Could computer simulation models drive our ambitions to sustainability in urban and non-
urban environments? Digital twins, defined here as real-time, virtual replicas of physical and …
urban environments? Digital twins, defined here as real-time, virtual replicas of physical and …
Differentiating digital twin from digital shadow: Elucidating a paradigm shift to expedite a smart, sustainable built environment
SME Sepasgozar - Buildings, 2021 - mdpi.com
Construction projects and cities account for over 50% of carbon emissions and energy
consumption. Industry 4.0 and digital transformation may increase productivity and reduce …
consumption. Industry 4.0 and digital transformation may increase productivity and reduce …