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An Innovative Approach to Geothermal Prospecting through Interactive Analytics
The current state of geothermal prospectivity in the East African Rift System (EARS) is driven by the observation and correlation of surface features such as volcanoes, hot springs, fumaroles, andExpand
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?
We provide a brief overview of how variational autoencoders (VAEs), as a deep learning approach, can be linked to ordinary differential equations (ODEs) for dynamic modeling, and then specifically investigate the feasibility of such an approach that infers individual-specific latent trajectories by including regularity assumptions and individuals' similarity. Expand
Interactive Geological Prospecting Using Innovative Analytics
One of the major inefficiencies of working exploration projects in complicated rift basins is the time consuming (and technically unsatisfying!) process of identifying and drawing hundreds ofExpand