InFraReD - An Intelligent Framework for Resilient Design
2021
- 161Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage161
- Abstract Views161
Artifact Description
AbstractClimate change is no longer a debate but a real urgency. City planners, developers, architects and municipalities need to understand the impact of our buildings on the environment and make resilient plans for the future. However, environmental simulations are very complex, time consuming and not accessible.InFraReD is a platform for resilient city planning based on Artificial Intelligence. It uses state of the art machine learning models to provide real-time simulation prediction on complex environmental simulations, such as wind, solar radiation and thermal comfort. InFraReD’s models are trained on large simulation data sets to be able to give instant feedback on design decisions, minimizing the complexity and resources required and making advanced environmental simulations accessible to all.
Bibliographic Details
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