Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Satish G. Iyengar"'
Autor:
Gerald Matthews, Shannon Wasko, Megan Goforth, Nathan Bos, Alice Leung, Jonathon Kopecky, Hannah P. Cowley, Rebecca Rhodes, Satish G. Iyengar
Publikováno v:
Computers & Security. 107:102314
Insider threats are individuals who pose significant security risks but are difficult to identify with traditional methods that rely on passively collected data. Recently, active indicators have been developed as a more active monitoring method desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c67db33b45a3c7c257b341d27df7eea
https://doi.org/10.1016/j.cose.2021.102314
https://doi.org/10.1016/j.cose.2021.102314
Publikováno v:
IEEE Transactions on Signal Processing. 60:4888-4897
In this paper, we consider a binary decentralized detection problem where the local sensor observations are quantized before their transmission to the fusion center. Sensor observations, and hence their quantized versions, may be heterogeneous as wel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad277382a7177de770d085e286d49416
https://doi.org/10.1109/tsp.2012.2202113
https://doi.org/10.1109/tsp.2012.2202113
Publikováno v:
IEEE Transactions on Signal Processing. 59:2308-2319
We present a parametric framework for the joint processing of heterogeneous data, specifically for a binary classification problem. Processing such a data set is not straightforward as heterogeneous data may not be commensurate. In addition, the sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f76ddb0b1ceea7abcad59f6decf7432
https://doi.org/10.1109/tsp.2011.2105483
https://doi.org/10.1109/tsp.2011.2105483
Publikováno v:
2015 IEEE Aerospace Conference.
Recent methods to optimize wind farm performance require new methods to assess and validate wind farm level performance. This paper introduces a machine learning approach based on sector wise honest brokers in order to determine expectation of wind e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50bb8d571dbe76bd172cdf0401e46f9c
https://doi.org/10.1109/aero.2015.7119130
https://doi.org/10.1109/aero.2015.7119130
Autor:
David J. Eldridge, Peter Alan Gregg, Jianhui Chen, Scott Charles Evans, Zhanpan Zhang, Colin Craig McCulloch, John David Hilton, Satish G. Iyengar, Mark Jonkhof, Mohammad Shokoohi-Yekta
Publikováno v:
2014 IEEE Aerospace Conference.
Wind Turbine performance improvement measurements are challenging, especially when improvements affect air flow to the nacelle anemometer sensor which is often used to baseline performance. Uncertainty in this area can impede optimization of wind far
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b9e606ae33feac296b292c328a60fb8
https://doi.org/10.1109/aero.2014.6836203
https://doi.org/10.1109/aero.2014.6836203
Publikováno v:
EMBC
Traditional physiological monitoring systems convert a person's vital sign waveforms, such as heart rate, respiration rate and blood pressure, into meaningful information by comparing the instant reading with a preset threshold or a baseline without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83cf1a590a7e7861c3822b5b5a2740d5
https://doi.org/10.1109/embc.2012.6347488
https://doi.org/10.1109/embc.2012.6347488
Publikováno v:
EMBC
Most existing human activity classification systems require a large training dataset to construct statistical models for each activity of interest. This may be impractical in many cases. In this paper, we proposed a semi-supervised HMM based activity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac1c643775f5766c654c9dbde44d80d8
https://pubmed.ncbi.nlm.nih.gov/22254676
https://pubmed.ncbi.nlm.nih.gov/22254676
Publikováno v:
ISBI
Preclinical test for drug response on cardiomyocyte populations is a key component in drug development. The apparent motion of the cardiomyocytes can be captured using video microsopy, and analyzed using image analysis techniques. In this paper, we d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e36a3f6e6ba4025ae2ca412a2f4b5a2b
http://ora.ox.ac.uk/objects/uuid:0eb6e30f-f61b-49ca-901e-ff24480bff93
http://ora.ox.ac.uk/objects/uuid:0eb6e30f-f61b-49ca-901e-ff24480bff93
Publikováno v:
BSN
Most existing human activity classification systems require a large training dataset to construct statistical models for each activity of interest. This may be impractical in many cases. In this paper, we propose a two stage classifier in order to al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38e52519f3789dd33ad0a5533fc5f849
https://doi.org/10.1109/bsn.2011.31
https://doi.org/10.1109/bsn.2011.31