no code implementations • 18 Oct 2023 • Jie Wang, Meles G. Weldegebriel, Neal Patwari
We propose a new channel model, CELF, which uses channel loss measurements from a deployed network in the area and a Bayesian linear regression method to estimate a site-specific loss field for the area.
no code implementations • 15 Dec 2022 • Jie Wang, Jonathan Gornet, Alex Orange, Leigh Stoller, Gary Wong, Jacobus Van der Merwe, Sneha Kumar Kasera, Neal Patwari
FDMonitor thus uses a bidirectional coupler, a two-channel receiver, and a new source separation algorithm to simultaneously estimate the transmitted signal and the signal incident on the antenna.
no code implementations • 10 Oct 2022 • Neal Patwari, Di Huang, Kiki Bonetta-Misteli
Studies have shown pulse oximeter measurements of blood oxygenation have statistical bias that is a function of race, which results in higher rates of occult hypoxemia, i. e., missed detection of dangerously low oxygenation, in patients of color.
no code implementations • 1 Aug 2022 • Alex DiChristofano, Henry Shuster, Shefali Chandra, Neal Patwari
In this paper, we expand the discussion beyond bias as a function of the individual national origin of the speaker to look for bias as a function of the geopolitical orientation of their nation of origin.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 24 Apr 2021 • Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
When it comes to studying the impacts of decision making, the research has been largely focused on examining the fairness of the decisions, the long-term effects of the decision pipelines, and utility-based perspectives considering both the decision-maker and the individuals.
no code implementations • 9 Oct 2020 • Alemayehu Solomon Abrar, Anh Luong, Gregory Spencer, Nathan Genstein, Neal Patwari, Mark Minor
As an alternative anchor-free method, we propose the friend-based autonomous collision prediction and tracking (FACT) method that uses all measured ranges between nearby (unknown location mobile) agents, in a distributed algorithm, to estimate their relative locations and velocities and predict future collisions between agents.