Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Nevat, Ido"'
We develop a new model for spatial random field reconstruction of a binary-valued spatial phenomenon. In our model, sensors are deployed in a wireless sensor network across a large geographical region. Each sensor measures a non-Gaussian inhomogeneou
Externí odkaz:
http://arxiv.org/abs/2204.03343
Publikováno v:
In Journal of the Franklin Institute January 2024 361(2):612-636
The cyber risk insurance market is at a nascent stage of its development, even as the magnitude of cyber losses is significant and the rate of cyber loss events is increasing. Existing cyber risk insurance products as well as academic studies have be
Externí odkaz:
http://arxiv.org/abs/2102.05568
Publikováno v:
Internet of Things Journal 2021
Classification of IoT devices into different types is of paramount importance, from multiple perspectives, including security and privacy aspects. Recent works have explored machine learning techniques for fingerprinting (or classifying) IoT devices,
Externí odkaz:
http://arxiv.org/abs/2009.01368
Publikováno v:
IEEE Transactions on Signal Processing, vol. 68, pp. 4336-4351, 2020
Spatial regression of random fields based on potentially biased sensing information is proposed in this paper. One major concern in such applications is that since it is not known a-priori what the accuracy of the collected data from each sensor is,
Externí odkaz:
http://arxiv.org/abs/1908.05835
We develop a robust data fusion algorithm for field reconstruction of multiple physical phenomena. The contribution of this paper is twofold: First, we demonstrate how multi-spatial fields which can have any marginal distributions and exhibit complex
Externí odkaz:
http://arxiv.org/abs/1906.03772
We address the two fundamental problems of spatial field reconstruction and sensor selection in het- erogeneous sensor networks. We consider the case where two types of sensors are deployed: the first consists of expensive, high quality sensors; and
Externí odkaz:
http://arxiv.org/abs/1801.05356
Autor:
Zhang, Pengfei, Nevat, Ido, Peters, Gareth W., Fruehwirt, Wolfgang, Huang, Yongchao, Anders, Ivonne, Osborne, Michael
We address the two fundamental problems of spatial field reconstruction and sensor selection in heterogeneous sensor networks: (i) how to efficiently perform spatial field reconstruction based on measurements obtained simultaneously from networks wit
Externí odkaz:
http://arxiv.org/abs/1711.04308
Publikováno v:
European Actuarial Journal; Aug2024, Vol. 14 Issue 2, p581-621, 41p
Autor:
Nevat, Ido
Publikováno v:
In Building and Environment December 2021 206