no code implementations • 22 Feb 2024 • Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey Leontovich, Svetomir N. Markovic, Shashi Shekhar
Given multi-category point sets from different place-types, our goal is to develop a spatially-lucid classifier that can distinguish between two classes based on the arrangements of their points.
no code implementations • 19 Oct 2023 • Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian
Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty.
no code implementations • 26 Apr 2023 • Hyeonjung, Jung, Jayant Gupta, Bharat Jayaprakash, Matthew Eagon, Harish Panneer Selvam, Carl Molnar, William Northrop, Shashi Shekhar
Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems.
no code implementations • 29 Oct 2021 • Jayant Gupta, Carl Molnar, Gaoxiang Luo, Joe Knight, Shashi Shekhar
The proposed physical interpretation improves the transparency of SVANN models and the analytical results highlight the trade-off between model transparency and model performance (e. g., F1-score).
no code implementations • 17 Nov 2020 • Jayant Gupta, Yiqun Xie, Shashi Shekhar
Spatial variability has been observed in many geo-phenomena including climatic zones, USDA plant hardiness zones, and terrestrial habitat types (e. g., forest, grasslands, wetlands, and deserts).