In petroleum geophysics, well logs are fundamental for subsurface characterization; however, missing logs frequently occur due to tool failure, legacy data gaps, or economic constraints, limiting ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Wildfires, as integral components of terrestrial ecosystems, play a significant role in shaping ecological development through disturbance and regeneration 1. However, the increasing influence of both ...
A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...
Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, ...
Thailand's car manufacturing target for 2024 may be downgraded as production continues to decline, with a sluggish economy affecting car sales, according to the Federation of Thai Industries (FTI).
This repository deals with AI-based prediction of the German electricity mix. We want to perform time series prediction of the ENTSO-E actual generation per production type and actual load data, i.e., ...
The rapid development of big data technology and artificial intelligence has provided a new perspective on sports injury prevention. Although data-driven algorithms have achieved some valuable results ...
How to Prepare Your Data to Feed into the Model? We have provided example of how to feed your time-series data with GluonTS in the notebook. To convert CSV data or other formats to GluonTS format, ...
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