Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Jayakrishnan Unnikrishnan"'
Publikováno v:
BMJ Open, Vol 11, Iss 1 (2021)
Objectives The COVID-19 pandemic has spread to all states in India. Due to limitations in testing coverage, the true extent of the spread may not be fully reflected in the reported cases. In this study, we obtain time-varying estimates of the fractio
Externí odkaz:
https://doaj.org/article/83a5bc1a34014f3a9f8472b540a38600
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0118767 (2015)
Single Molecule Localization Microscopy techniques like PhotoActivated Localization Microscopy, with their sub-diffraction limit spatial resolution, have been popularly used to characterize the spatial organization of membrane proteins, by means of q
Externí odkaz:
https://doaj.org/article/65d37b9b39db4eebaa6f2ea1cd6f0940
Autor:
Bhushan, Shashi, Eshkabilov, Sulaymon, Jayakrishnan, Unnikrishnan, Prajapati, Sanjeev Kumar, Simsek, Halis
Publikováno v:
In Chemosphere September 2023 336
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Urs Niesen, Jayakrishnan Unnikrishnan
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
We introduce and study the problem of camera-radar fusion for 3-D depth reconstruction. This problem is motivated by autonomous driving applications, in which we can expect to have access to both front-facing camera and radar sensors. These two senso
Publikováno v:
IEEE Transactions on Information Theory. 64:3237-3253
We study the problem of solving a linear sensing system when the observations are unlabeled. Specifically we seek a solution to a linear system of equations y = Ax when the order of the observations in the vector y is unknown. Focusing on the setting
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Urs Niesen, Jayakrishnan Unnikrishnan
Publikováno v:
IROS
Motivated by requirements for future automotive radar, we study the problem of resolving target elevation from measurements by a one-dimensional horizontal radar antenna array. This is a challenging and ill-posed problem, since such measurements cont
Autor:
Jayakrishnan Unnikrishnan, Dayu Huang
Publikováno v:
IEEE Transactions on Information Theory. 62:4285-4299
In recent years, solutions to various hypothesis testing problems in the asymptotic setting have been proposed using the results from large deviation theory. Such tests are optimal in terms of appropriately defined error exponents. For the practition
Publikováno v:
Water Environment Research (10614303); Jul2021, Vol. 93 Issue 7, p1019-1031, 13p