- A machine learning approach to assess implications of Climate Risk ...🔍
- A Machine Learning Assessment of Climate Risk Disclosures🔍
- Tackling extreme urban heat🔍
- A machine learning approach to evaluate coastal risks related to ...🔍
- Harnessing machine learning for assessing climate change ...🔍
- A machine learning approach to rapidly project climate responses ...🔍
- Distributed Effects of Climate Policy🔍
- A Machine Learning Approach to Adapt Local Land Use Planning to ...🔍
A machine learning approach to assess implications of Climate Risk ...
A machine learning approach to assess implications of Climate Risk ...
This modeling technique used in the paper is unique and used for the first time in the literature to analyse the effect of climate risk factors on different ...
A Machine Learning Assessment of Climate Risk Disclosures - ECGI
Finally, using these labelled texts, we train and cross-validate a machine learning classifier. The classifier is able to determine the presence ...
Tackling extreme urban heat: a machine learning approach ... - arXiv
Title:Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation ...
A machine learning approach to evaluate coastal risks related to ...
Finally, the conditional distributions of the indicators given the presence/absence of impacts were analysed. This analysis is meaningful as ...
Harnessing machine learning for assessing climate change ...
Recent studies have reported significant impact of various climatic factors such as change in temperature, precipitation, evapotranspiration, ...
A machine learning approach to rapidly project climate responses ...
QuickClim is used to assess how carbon concentrations impact measures of the climate shown to be important for the human condition. We first ...
A machine learning approach to assess implications of Climate Risk ...
A machine learning approach to assess implications of Climate Risk Factors on Agriculture: The Indian case · List of references · Publications that cite this ...
We employ machine learning techniques to estimate household carbon footprints (HCFs) for the average household in each Census tract—geographic areas that ...
A Machine Learning Approach to Adapt Local Land Use Planning to ...
Integrating machine learning (ML) into systemic planning increases awareness of impacts by providing decision-makers with predictive analysis ...
Climate risk assessment for the Veneto coastline - PreventionWeb.net
From a study involving the CMCC, a prototype was created that, using Artificial Intelligence and Machine Learning, offers decision-makers new ...
Exploring machine learning potential for climate change risk ...
Given the increasing attention on the application of ML methods to Climate Change Risk Assessment (CCRA), this review mapped out the state of art and potential ...
Using Machine Learning for Climate Related Impact Evaluations
'The Livelihood vulnerability index: A pragmatic approach to assessing risks from climate variability and change - A case study in. Mozambique.' Global ...
Use of machine learning tools to predict health risks from climate ...
Machine learning (ML) algorithms may play a role in predicting the adverse health impacts of climate-sensitive extreme weather events because accurate ...
Where and how machine learning plays a role in climate finance ...
Machine learning to evaluate impacts ... Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach.
AI and climate resilience governance: iScience - Cell Press
A risk governance perspective is used to analyze the role of AI in supporting decision-making for climate adaptation, spanning risk assessment, policy analysis ...
Assessment of Climate Change Impact on Water Resources Using ...
Machine learning (ML) algorithms bring about a game changer tool in developing estimation models in various fields of research, ...
Artificial intelligence, the new frontier in climate change risks ...
“Machine learning represents the future of risk assessment, but its great potential is not yet widely exploited. Our research shows that there ...
A Machine Learning approach to support multi-risk assessment and ...
The use of Artificial Intelligence for climate change adaptation can leverage advanced understanding of multi-risk dynamics, in order to support forward ...
AI-Powered Climate Risk Assessment Tools – A $31bn market
AI is transforming climate risk assessment through various technologies and approaches. Machine learning models analyse vast amounts of ...
Where and how machine learning plays a role in climate finance ...
This has led to the emergence of a new research field, climate finance, where experts are starting to harness Machine Learning (ML) as a tool to solve ...