activity
20102023
most citedSecure Localization in Wireless Sensor Networks: A Survey

16 citations · 44 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2023★ 1 cited

Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture

Rutuja Gurav, Het Patel, Zhuocheng Shang +4

Climate change is increasingly disrupting worldwide agriculture, making global food production less reliable. To tackle the growing challenges in feeding the planet, cutting-edge m…

cs.CV2022

Object Delineation in Satellite Images

Zhuocheng Shang, Ahmed Eldawy

Machine learning is being widely applied to analyze satellite data with problems such as classification and feature detection. Unlike traditional image processing algorithms, geosp…

cs.DB2022★ 8 cited

Spatial Parquet: A Column File Format for Geospatial Data Lakes [Extended Version]

Majid Saeedan, Ahmed Eldawy

Modern data analytics applications prefer to use column-storage formats due to their improved storage efficiency through encoding and compression. Parquet is the most popular file…

cs.DB2021★ 9 cited

Spatial Data Generators

Tin Vu, Sara Migliorini, Ahmed Eldawy +1

This gem describes a standard method for generating synthetic spatial data that can be used in benchmarking and scalability tests. The goal is to improve the reproducibility and in…

cs.AI2020★ 8 cited

Uncertainty Aware Wildfire Management

Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay +3

Recent wildfires in the United States have resulted in loss of life and billions of dollars, destroying countless structures and forests. Fighting wildfires is extremely complex. I…

cs.DB2020

Raptor Zonal Statistics: Fully Distributed Zonal Statistics of Big Raster + Vector Data [Pre-Print]

Samriddhi Singla, Ahmed Eldawy

Recent advancements in remote sensing technology have resulted in petabytes of data in raster format. This data is often processed in combination with high resolution vector data t…