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Deep interpolation of remote sensing land surface temperature data with partial convolutions
Land Surface Temperature (LST) is an important resource for a variety of tasks. The data are
mostly free of charge and combine high spatial and temporal resolution with reliable data …
mostly free of charge and combine high spatial and temporal resolution with reliable data …
Kairos: Efficient Temporal Graph Analytics on a Single Machine
Many important societal problems are naturally modeled as algorithms over temporal
graphs. To date, however, most graph processing systems remain inefficient as they rely on …
graphs. To date, however, most graph processing systems remain inefficient as they rely on …
SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation
Open data is frequently released spatially aggregated, usually to comply with privacy
policies. However, coarse heterogeneous aggregations complicate learning and integration …
policies. However, coarse heterogeneous aggregations complicate learning and integration …
Systems and Techniques for Efficient Real-World Graph Analytics
JMF da Trindade - 2024 - search.proquest.com
Graphs are a natural way to model real-world entities and relationships between them,
ranging from social networks and biological datasets to cloud computing infrastructure data …
ranging from social networks and biological datasets to cloud computing infrastructure data …