most citedQuickest Detection of COVID-19 Pandemic Onset

17 citations · 28 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2021

A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs

Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Di Gennaro +3

Even if path planning can be solved using standard techniques from dynamic programming and control, the problem can also be approached using probabilistic inference. The algorithms…

eess.SY20212 cited

A Critical Look at Coulomb Counting Towards Improving the Kalman Filter Based State of Charge Tracking Algorithms in Rechargeable Batteries

Kiarash Movassagh, Sheikh Arif Raihan, Balakumar Balasingam +1

In this paper, we consider the problem of state of charge estimation for rechargeable batteries. Coulomb counting is one of the traditional approaches to state of charge estimation…

eess.SY2021

On the Identification of Electrical Equivalent Circuit Models Based on Noisy Measurements

Balakumar Balasingam, Krishna Pattipati

Real-time identification of electrical equivalent circuit models is a critical requirement in many practical systems, such as batteries and electric motors. Significant work has be…

physics.soc-ph20209 cited

Decision Support for the Quickest Detection of Critical COVID-19 Phases

Paolo Braca, Domenico Gaglione, Stefano Marano +3

During the course of an epidemic, one of the most challenging tasks for authorities is to decide what kind of restrictive measures to introduce and when these should be enforced. I…

eess.SP202017 cited

Quickest Detection of COVID-19 Pandemic Onset

Paolo Braca, Domenico Gaglione, Stefano Marano +3

This paper develops an easily-implementable version of Page's CUSUM quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data stati…

cs.LG2020

Path Planning Using Probability Tensor Flows

Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Fioretti +2

Probability models have been proposed in the literature to account for "intelligent" behavior in many contexts. In this paper, probability propagation is applied to model agent's m…