Devashish Das
University of South Florida
16 Papers
65 Citations
Devashish Das is an academic researcher from University of South Florida. The author has contributed to research in topics: Computer science & Statistical model. The author has an hindex of 5, co-authored 14 publications. Previous affiliations of Devashish Das include Mayo Clinic & Indian Institute of Technology Kharagpur.
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Papers
Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity
TL;DR: A multiple change-point Wiener process as a degradation model is proposed to better characterize the degradation signals of multiple-phase characteristics and a fully Bayesian approach is developed where all model parameters are assumed random.
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Differentiating Alcohol-Induced Driving Behavior Using Steering Wheel Signals
TL;DR: This paper lays a foundation for the future development of a real-time detection method for alcohol-induced impairment by comparing nonlinear dynamic invariant measures such as sample entropy and Lyapunov exponent in terms of their differentiating capabilities.
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Statistical process monitoring based on maximum entropy density approximation and level set principle
Devashish Das,Shiyu Zhou +1 more
TL;DR: In this article, the authors proposed a control chart scheme that is based on the following ideas: first, a maximum entropy density is fitted to the null distribution of the quantity being monitored, then the in-control region is selected as the one with the minimum volume from a set of acceptable in control regions.
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Improving Accuracy of Noninvasive Hemoglobin Monitors: A Functional Regression Model for Streaming SpHb Data
Devashish Das,Kalyan S. Pasupathy,Nadeem N. Haddad,M. Susan Hallbeck,Martin D. Zielinski,Mustafa Y. Sir +5 more
TL;DR: Fitting a smooth function to SpHb measurements improves the accuracy of Hgb predictions, which can lead to sophisticated decision models that determine the optimal timing and amount of blood product transfusions.
7
Functional regression-based monitoring of quality of service in hospital emergency departments
Devashish Das,Kalyan S. Pasupathy,Curtis B. Storlie,Mustafa Y. Sir +3 more
- 08 Feb 2019
TL;DR: The proposed method can identify patterns of inefficiency or delay in service that are hard to detect using traditional statistical monitoring algorithms and offers a practical approach for monitoring service systems and determining when staffing levels need to be re-optimized.
6