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Knowledge-guided machine learning: Current trends and future prospects
This paper presents an overview of scientific modeling and discusses the complementary
strengths and weaknesses of ML methods for scientific modeling in comparison to process …
strengths and weaknesses of ML methods for scientific modeling in comparison to process …
SimFair: Physics-guided fairness-aware learning with simulation models
Fairness-awareness has emerged as an essential building block for the responsible use of
artificial intelligence in real applications. In many cases, inequity in performance is due to …
artificial intelligence in real applications. In many cases, inequity in performance is due to …
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
Solar power is a critical source of renewable energy, offering significant potential to lower
greenhouse gas emissions and mitigate climate change. However, the cloud induced …
greenhouse gas emissions and mitigate climate change. However, the cloud induced …
Estimating Human Mobility Responses to Social Disruptions Through Spatio-Temporal Deep Generative Learning Methods
H Bao - 2024 - search.proquest.com
Estimating human mobility is an important task in diverse societal domains, including public
health, public safety, transportation, agriculture, environmental science, etc. This thesis …
health, public safety, transportation, agriculture, environmental science, etc. This thesis …