Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Jonathan D. Rosenblatt"'
Autor:
Neta Zimerman Katz, Malaak Khatib, Yochai Ben-Horin, Jonathan D. Rosenblatt, Tirza Routtenberg
Publikováno v:
IEEE Access, Vol 12, Pp 35827-35843 (2024)
Sensor array geometry has a direct impact on the direction-of-arrival (DOA) estimation of a seismic signal. In this paper, we design a planar array that aims to optimize the DOA estimation of a narrowband signal in the sense of the minimum mean-squar
Externí odkaz:
https://doaj.org/article/37419c52d3814db1b1ed5858e0d36758
Publikováno v:
International Journal of Human–Computer Interaction. :1-9
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:5197-5205
Spatial predictions, like other supervised learning tasks, require some criterion for a predictor’s quality. Typical data-splitting schemes, such as holdouts and $k$ -fold cross-validation, ignore the fact that the training data are usually not ava
Autor:
Jonathan D. Rosenblatt
Publikováno v:
Handbook of Multiple Comparisons ISBN: 9780429030888
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530c3cd748790fca86a66dca32d24b59
https://doi.org/10.1201/9780429030888-8
https://doi.org/10.1201/9780429030888-8
In the first stage of a two-stage study, the researcher uses a statistical model to impute the unobserved exposures. In the second stage, imputed exposures serve as covariates in epidemiological models. Imputation error in the first stage operate as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d9f8a1dbea298611f646b502e4d277c
http://arxiv.org/abs/2107.07602
http://arxiv.org/abs/2107.07602
Publikováno v:
Computers and Electronics in Agriculture. 162:412-421
Ensuring the integrity of data from large sensor networks is a challenging task that is relevant in many domains. Precision agriculture is one instance of this challenge, where dendrometer sensors provide data used for plot-specific irrigation decisi
Publikováno v:
ACSSC
Estimation of the direction of arrival (DOA) of a seismic signal is required for accurate localization of seismic events, such as earthquakes and human-made explosions. Currently, seismic DOA estimation algorithms are based on the assumption that the
In the current study, we set out to examine the viability of a novel approach to modeling human personality. Current research in psychology suggests that people’s personalities can be effectively described using five broad dimensions (the Five-Fact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::debb90a0fc5b9ba1a7083fd4c4dcb390
https://doi.org/10.31234/osf.io/sxzqy
https://doi.org/10.31234/osf.io/sxzqy
Autor:
Alexandra Shtein, Ian Hough, Allan C. Just, Evyatar Erell, Victor Novack, Bin Zhou, Jonathan D. Rosenblatt, Itai Kloog
Publikováno v:
Remote Sensing; Volume 12; Issue 11; Pages: 1741
Remote Sensing, Vol 12, Iss 1741, p 1741 (2020)
Remote Sensing, Vol 12, Iss 1741, p 1741 (2020)
Mapping of near-surface air temperature (Ta) at high spatio-temporal resolution is essential for unbiased assessment of human health exposure to temperature extremes, not least given the observed trend of urbanization and global climate change. Data
Estimating near‐surface air temperature across Israel using a machine learning based hybrid approach
Autor:
Evyatar Erell, Allan C. Just, Jonathan D. Rosenblatt, Bin Zhou, Itai Kloog, Ian Hough, Victor Novack
Rising global temperatures over the last decades have increased heat exposure among populations worldwide. An accurate estimate of the resulting impacts on human health demands temporally explicit and spatially resolved monitoring of near-surface air
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8133635b11ce64a281bb786a6b8c3167
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/93803
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/93803