127 citations
- Birla Institute of Technology and Science - Hyderabad CampusIN15 papers
- Birla Institute of Technology and Science, PilaniIN13 papers
- Inter-University Centre for Astronomy and AstrophysicsIN5 papers
- Indian Space Research OrganisationIN4 papers
- Korea Astronomy and Space Science InstituteKR4 papers
- Tata Institute of Fundamental ResearchIN4 papers
- Indian Institute of AstrophysicsIN3 papers
- Maulana Azad National Urdu UniversityIN2 papers
- University of HyderabadIN2 papers
- Vellore Institute of Technology UniversityIN2 papers
- Visva-Bharati UniversityIN2 papers
- Aryabhatta Research Institute of Observational SciencesIN1 paper
64 papers
GEO and LEO: The Final Frontier for Plutonic FFP Parallax
Andrew Gould
I show that microlens parallaxes, , can be derived for free-floating planets (FFPs) with masses down to that of Pluto, by combining observations from a satellite in geos…
One Small Step for ; One Giant Leap for Black Holes
Andrew Gould
The microlensing program can detect and fully characterize black holes (BHs) that are in orbit with about 30 million solar-type and evolved stars with periods up to the mis…
Roman FFP Revolution: Two, Three, Many Plutos
Andrew Gould, Jennifer C. Yee, Subo Dong
Roman microlensing stands at a crossroads between its originally charted path of cataloging a population of cool planets that has subsequently become well-measured down to super-Ea…
Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies
Payel Sadhukhan, Tanujit Chakraborty
The widespread deployment of Artificial Intelligence (AI) across government and private industries brings both advancements and heightened privacy and security concerns. Article 17…
Multi-wavelength photometric study of five contact binaries in the field of globular cluster M4
Shanti Priya Devarapalli, Rukmini Jagirdar, Ravi Raja Pothuneni +4
Binary stars are believed to be key determinants in understanding globular cluster evolution. In this paper, we present the Multi-band photometric analyses of five variables in the…
A model for multi-attack classification to improve intrusion detection performance using deep learning approaches
Arun Kumar Silivery, Ram Mohan Rao Kovvur
This proposed model introduces novel deep learning methodologies. The objective here is to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep…