2.2k citations · 2.2k across the 8 of their papers we have counts for
9 papers
An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework
Ying Mei, Shoulin Wei, Feng Wang +7
The Square Kilometre Array (SKA) project is an international cooperation project to build the largest radio telescope worldwide. Data processing is one of the biggest challenges of…
Enhanced Remote Astronomical Archive System Based on the File-Level Unlimited Sliding-Window Technique
Cong-Ming Shi, Hui Deng, Feng Wang +6
Data archiving is one of the most critical issues for modern astronomical observations. With the development of a new generation of radio telescopes, the transfer and archiving of…
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
Foivos I. Diakogiannis, François Waldner, Peter Caccetta +1
Scene understanding of high resolution aerial images is of great importance for the task of automated monitoring in various remote sensing applications. Due to the large within-cla…
CHILES: HI morphology and galaxy environment at z=0.12 and z=0.17
Kelley M. Hess, Nicholas M. Luber, Ximena Fernández +27
We present a study of 16 HI-detected galaxies found in 178 hours of observations from Epoch 1 of the COSMOS HI Large Extragalactic Survey (CHILES). We focus on two redshift ranges…
Partitioning SKA Dataflows for Optimal Graph Execution
Chen Wu, Andreas Wicenec, Rodrigo Tobar
Optimizing data-intensive workflow execution is essential to many modern scientific projects such as the Square Kilometre Array (SKA), which will be the largest radio telescope in…
DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge
Chen Wu, Rodrigo Tobar, Kevin Vinsen +11
The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for processing large astronomical datasets at a scale required by the Square Kilometre Array Phase 1 (SKA1…