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12 papers · 1 filter
Early Detection of At-Risk Students Using Machine Learning
Azucena L. Jimenez Martinez, Kanika Sood, Rakeshkumar Mahto
This research presents preliminary work to address the challenge of identifying at-risk students using supervised machine learning and three unique data categories: engagement, dem…
Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis
Jonathan Olivares, Tyler Depe, Kanika Sood +1
Drones have become indispensable assets during human-made and natural disasters, offering damage assessment, aid delivery, and communication restoration capabilities. However, most…
Tunable Crystalline Order and Growth Kinetics in 2D Binary Colloidal Self-assembly Driven by Depletion Interactions
S. k. Tahmid Shahriar, Chris Feltman, Sean Machler +1
We investigate two-dimensional crystal assemblies formed by a binary mixture of colloidal particles with a size ratio of 0.88 and driven by short-ranged depletion interactions. Our…
What to expect: kilonova light curve predictions via equation of state marginalization
Andrew Toivonen, Gargi Mansingh, Holton Griffin +13
Efficient multi-messenger observations of gravitational-wave candidates from compact binary coalescence candidate events rely on data products reported in low-latency by the Intern…
Relieving scale disparity in binary black hole simulations
Nikolas A. Wittek, Leor Barack, Harald P. Pfeiffer +7
Worldtube excision is a method of reducing computational burden in Numerical Relativity simulations of binary black holes in situations where there is a good analytical model of th…
Simulating binary black hole mergers using discontinuous Galerkin methods
Geoffrey Lovelace, Kyle C. Nelli, Nils Deppe +28
Binary black holes are the most abundant source of gravitational-wave observations. Gravitational-wave observatories in the next decade will require tremendous increases in the acc…