Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bayley King"'
Autor:
Siddharth Barve, Joshua Mayersky, Andrew J. Ford, Alexander Jones, Bayley King, Aaron Ruen, Rashmi Jha
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 7, Iss 2, Pp 97-105 (2021)
Many currently available hardware implementations of the unsupervised self-organizing feature map (SOFM) algorithm utilize complementary metal–oxide–semiconductor (CMOS)-only circuits that often compromise key behaviors of the SOFM algorithm due
Externí odkaz:
https://doaj.org/article/66f3762c4a0945d7a60e92ccad61c13f
Autor:
Alexander Jones, Stephan Koehler, Michael Jerge, Mitchell Graves, Bayley King, Richard Dalrymple, Cody Freese, James Von Albade
Publikováno v:
Sensors, Vol 23, Iss 5, p 2424 (2023)
As commercial geospatial intelligence data becomes more widely available, algorithms using artificial intelligence need to be created to analyze it. Maritime traffic is annually increasing in volume, and with it the number of anomalous events that mi
Externí odkaz:
https://doaj.org/article/7c83929ceb42433e96834dfc5ae5a307
Publikováno v:
Journal of Hardware and Systems Security. 6:17-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33e81923ca38dce273398e76920099ed
https://doi.org/10.1007/s41635-022-00125-9
https://doi.org/10.1007/s41635-022-00125-9
Publikováno v:
2022 IEEE Physical Assurance and Inspection of Electronics (PAINE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48aaaf935b27deda454757c00bcacf69
https://doi.org/10.1109/paine56030.2022.10014765
https://doi.org/10.1109/paine56030.2022.10014765
Autor:
Alexander Jones, Rashmi Jha, Joshua Mayersky, Aaron Ruen, Andrew J. Ford, Siddharth Barve, Bayley King
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 7, Iss 2, Pp 97-105 (2021)
Many currently available hardware implementations of the unsupervised self-organizing feature map (SOFM) algorithm utilize complementary metal–oxide–semiconductor (CMOS)-only circuits that often compromise key behaviors of the SOFM algorithm due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4806ef715fcb81d7bf24000522a4cc
https://ieeexplore.ieee.org/document/9568851/
https://ieeexplore.ieee.org/document/9568851/
Publikováno v:
MWSCAS
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)
Machine learning approaches are gaining popularity in the medical field for diagnostics, predictive analytics and general research. With data often being unlabeled or sparse to collect, there is a need for unsupervised learning networks in the medica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92925a1b54e6bbbfaf096289070a2467
https://doi.org/10.1109/mwscas48704.2020.9184493
https://doi.org/10.1109/mwscas48704.2020.9184493
Publikováno v:
2019 IEEE National Aerospace and Electronics Conference (NAECON).
Evolvable hardware is attractive as a design strategy to hardware engineers, but suffers due to its lack of scalability to larger hardware systems. This work examines how hardware designers can make use of evolvable hardware to improve the security o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ec942e8589b51fbcef01d1e1119399
https://doi.org/10.1109/naecon46414.2019.9058062
https://doi.org/10.1109/naecon46414.2019.9058062