Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Christine M. Schubert Kabban"'
Autor:
Anthony J. Rose, Scott R. Graham, Christine M. Schubert Kabban, Jacob J. Krasnov, Wayne C. Henry
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 4, Iss 2, Pp 153-166 (2024)
The Antimalware Scan Interface (AMSI) plays a crucial role in detecting malware within Windows operating systems. This paper presents ScriptBlock Smuggling, a novel evasion and log spoofing technique exploiting PowerShell and .NET environments to cir
Externí odkaz:
https://doaj.org/article/075b576513fb46e2a215a7637d67197f
Publikováno v:
IEEE Access, Vol 10, Pp 23511-23531 (2022)
In the aftermath of Spectre and Meltdown researchers have proposed a variety of attack detection solutions by applying machine learning to data collected from hardware performance monitoring units. Although many microarchitectural attack detection sy
Externí odkaz:
https://doaj.org/article/529e22255c1d4db09ad111ab270f215a
Autor:
Nicholas Westing, Kevin C. Gross, Brett J. Borghetti, Christine M. Schubert Kabban, Jacob Martin, Joseph Meola
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 127-140 (2021)
A multimodal generative modeling approach combined with permutation-invariant set attention is investigated in this article to support long-wave infrared (LWIR) in-scene atmospheric compensation. The generative model can produce realistic atmospheric
Externí odkaz:
https://doaj.org/article/021908ff930844fd932e4ac83a2edbe1
Autor:
George A. Reis, Michael E. Miller, Eric E. Geiselman, Brent T. Langhals, Christine M. Schubert Kabban, Julie A. Jackson
Publikováno v:
Displays. 77:102404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd1bd6402ecedaf4749f738090180b71
https://doi.org/10.1016/j.displa.2023.102404
https://doi.org/10.1016/j.displa.2023.102404
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 57:66-75
All-source navigation has become increasingly relevant over the past decade with the development of viable alternative sensor technologies. However, as the number and type of sensors informing a system increases, so does the probability of corrupting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff67ad3a624039f01b4934c4940d9f0e
https://doi.org/10.1109/taes.2020.3010394
https://doi.org/10.1109/taes.2020.3010394
Autor:
Kevin C. Gross, Nicholas Westing, Brett J. Borghetti, Jacob A. Martin, Joseph Meola, Christine M. Schubert Kabban
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 127-140 (2021)
A multimodal generative modeling approach combined with permutation-invariant set attention is investigated in this article to support long-wave infrared (LWIR) in-scene atmospheric compensation. The generative model can produce realistic atmospheric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9585141b1fc71b668c2b572b72b4add4
https://ieeexplore.ieee.org/document/9242299/
https://ieeexplore.ieee.org/document/9242299/
Autor:
Mike McAleenan, Christine M. Schubert Kabban, Sarah Gold, Darryl K. Ahner, William P. Roeder, Edward D. White
Publikováno v:
Weather and Forecasting. 35:609-621
The 45th Weather Squadron (45 WS) records daily rain and lightning probabilistic forecasts and the associated binary event outcomes. Subsequently, they evaluate forecast performance and determine necessary adjustments with an established verification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7240379f03b2c60ff1f23f9f351e1893
https://doi.org/10.1175/waf-d-19-0116.1
https://doi.org/10.1175/waf-d-19-0116.1
Publikováno v:
NAVIGATION. 66:251-263
This research proposes a novel, autonomous, regression-based methodology for Allan variance analysis of inertial measurement unit (IMU) sensors. Current methods for Allan variance analysis have been rooted in the human-based interpretation of linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a60cdce7e4e32409ee9cd2b6017ef97
https://doi.org/10.1002/navi.278
https://doi.org/10.1002/navi.278
Publikováno v:
Sensors
Volume 21
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 3225, p 3225 (2021)
Volume 21
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 3225, p 3225 (2021)
EEG-based deep learning models have trended toward models that are designed to perform classification on any individual (cross-participant models). However, because EEG varies across participants due to non-stationarity and individual differences, ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f913dbe3ebdac61cf15f9fb55d08682
Publikováno v:
2020 International Conference on Unmanned Aircraft Systems (ICUAS).
In a denied environment, vehicles equipped with all-source navigation capabilities (e.g. magnetic, visual, etc.) can maintain assured PNT solutions and serve as anchors for other vehicles in a surveillance network. Mission vehicles not equipped with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::104a2df5a2efc5baf3b3202838af90fd
https://doi.org/10.1109/icuas48674.2020.9213864
https://doi.org/10.1109/icuas48674.2020.9213864