1.2k citations
- University of AucklandNZ89 papers
- Commonwealth Scientific and Industrial Research OrganisationAU64 papers
- Swinburne University of TechnologyAU58 papers
- University of ManchesterGB57 papers
- Max Planck Institute for Radio AstronomyDE50 papers
- Centre National de la Recherche ScientifiqueFR46 papers
- ARC Centre of Excellence for Gravitational Wave DiscoveryAU45 papers
- International Centre for Radio Astronomy ResearchAU45 papers
- Curtin UniversityAU42 papers
- Australia Telescope National FacilityAU40 papers
- Korea Astronomy and Space Science InstituteKR36 papers
- The Ohio State UniversityUS36 papers
29 papers · 1 filter
The Statistics of Radio Astronomical Polarimetry: Disjoint, Superposed, and Composite Samples
Willem van Straten, Caterina Tiburzi
A statistical framework is presented for the study of the orthogonally polarized modes of radio pulsar emission via the covariances between the Stokes parameters. To accommodate th…
Minimum cost polygon overlay with rectangular shape stock panels
Wilson S. Siringoringo, Andy M. Connor, Nick Clements +1
Minimum Cost Polygon Overlay (MCPO) is a unique two-dimensional optimization problem that involves the task of covering a polygon shaped area with a series of rectangular shaped pa…
Probabilistic estimation of software project duration
Andy M. Connor
This paper presents a framework for the representation of uncertainty in the estimates for software design projects for use throughout the entire project lifecycle. The framework i…
Planetary Radio Interferometry and Doppler Experiment (PRIDE) technique: A test case of the Mars Express Phobos fly-by
Dmitry A. Duev, Sergei V. Pogrebenko, Giuseppe Cimò +33
The closest ever fly-by of the Martian moon Phobos, performed by the European Space Agency's Mars Express spacecraft, gives a unique opportunity to sharpen and test the Planetary R…
Using Design Science to build a Watermark System for Righful Ownership Protection in the Cloud
Brian Cusack, Reza Khaleghparast
Cloud computing opportunities have presented service options for users that are both economical and flexible to use requirements. However, the risk analysis for the user identifies…
A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification
Enmei Tu, Yaqian Zhang, Lin Zhu +2
Nearest Neighbors (NN) is one of the most widely used supervised learning algorithms to classify Gaussian distributed data, but it does not achieve good results when it is a…