Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ornee, Tasmeen Zaman"'
In this study, we investigate a context-aware status updating system consisting of multiple sensor-estimator pairs. A centralized monitor pulls status updates from multiple sensors that are monitoring several safety-critical situations (e.g., carbon
Externí odkaz:
http://arxiv.org/abs/2310.06224
Autor:
Ornee, Tasmeen Zaman, Sun, Yin
We study a sampling and transmission scheduling problem for multi-source remote estimation, where a scheduler determines when to take samples from multiple continuous-time Gauss-Markov processes and send the samples over multiple channels to remote e
Externí odkaz:
http://arxiv.org/abs/2305.04809
In this paper, we present a local geometric analysis to interpret how deep feedforward neural networks extract low-dimensional features from high-dimensional data. Our study shows that, in a local geometric region, the optimal weight in one layer of
Externí odkaz:
http://arxiv.org/abs/2202.04632
Autor:
Ornee, Tasmeen Zaman, Sun, Yin
In this study, we generalize a problem of sampling a scalar Gauss Markov Process, namely, the Ornstein-Uhlenbeck (OU) process, where the samples are sent to a remote estimator and the estimator makes a causal estimate of the observed realtime signal.
Externí odkaz:
http://arxiv.org/abs/2108.09201
Autor:
Ornee, Tasmeen Zaman, Sun, Yin
The age of information, as a metric for evaluating information freshness, has received a lot of attention. Recently, an interesting connection between the age of information and remote estimation error was found in a sampling problem of Wiener proces
Externí odkaz:
http://arxiv.org/abs/1902.03552
Autor:
Ornee, Tasmeen Zaman, Sun, Yin
In this paper, we study a sampling and transmission scheduling problem for multi-source remote estimation, where a scheduler determines when to take samples from multiple continuous-time Gauss-Markov processes and send the samples over multiple chann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1f4e2965bd0e318aa6a797cbdd19850
http://arxiv.org/abs/2305.04809
http://arxiv.org/abs/2305.04809
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