Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Patrick L. Neary"'
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8782 (2020)
Turbulence and attenuation are signal degrading factors that can severely hinder free-space and underwater OAM optical pattern demultiplexing. A variety of state-of-the-art convolutional neural network architectures are explored to identify which, if
Externí odkaz:
https://doaj.org/article/d8698512d867431b96bb50a7c94c1690
Autor:
Gustavo K. Rohde, K. Peter Judd, Abbie T. Watnik, James R. Lindle, Patrick L. Neary, Nicholas S. Flann, Jonathan M. Nichols
Publikováno v:
Journal of the Optical Society of America. A, Optics, image science, and vision. 38(7)
Comparisons between machine learning and optimal transport-based approaches in classifying images are made in underwater orbital angular momentum (OAM) communications. A model is derived that justifies optimal transport for use in attenuated water en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14a84c6b4d2401a5ff660f701809dd2c
https://pubmed.ncbi.nlm.nih.gov/34263751
https://pubmed.ncbi.nlm.nih.gov/34263751
Publikováno v:
Applied Sciences
Volume 10
Issue 24
Applied Sciences, Vol 10, Iss 8782, p 8782 (2020)
Volume 10
Issue 24
Applied Sciences, Vol 10, Iss 8782, p 8782 (2020)
Turbulence and attenuation are signal degrading factors that can severely hinder free-space and underwater OAM optical pattern demultiplexing. A variety of state-of-the-art convolutional neural network architectures are explored to identify which, if
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::496f88a780e43b4906368fcefdb7c7a2
Autor:
James R. Lindle, Nicholas S. Flann, Patrick L. Neary, K. Peter Judd, Jonathan M. Nichols, Abbie T. Watnik
Publikováno v:
2020 Photonics North (PN).
Signal attenuation, resulting in low signal to noise ratio (SNR), in underwater optical communications (UWOC) is a problem that degrades classification performance. We develop and contrast several novel ways to create machine learning (ML) and optima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73916f0a10c95827d9e9da0a1a70f904
https://doi.org/10.1109/pn50013.2020.9166980
https://doi.org/10.1109/pn50013.2020.9166980
Autor:
Vicki H. Allan, Patrick L. Neary
Publikováno v:
ICAART (2)
Major gains have been made in recent years in object recognition due to advances in deep convolutional neural networks. One struggle with deep learning is identifying an optimal network architecture for a given problem. Often different configurations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf3cccd346aea847d1a6e1eb16d0ea1b
https://doi.org/10.5220/0007255103880395
https://doi.org/10.5220/0007255103880395
Autor:
Patrick L. Neary
Publikováno v:
ICCC
Major gains have been made in recent years in object recognition due to advances in deep neural networks. One struggle with deep learning, however, revolves around the fact that currently it is unknown what network architecture is best for a given pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::639e8eb6adc77f7ba77312b37793cf8a
https://doi.org/10.1109/iccc.2018.00017
https://doi.org/10.1109/iccc.2018.00017
Autor:
Christopher P. McKay, A. G. Duncan, Ronald C. Sims, Patrick L. Neary, Heather D. Smith, C. R. Lloyd, Anne J. Anderson
Publikováno v:
Astrobiology. 12(3)
We report on the use of a portable instrument for microbial detection in the Mojave Desert soil and the potential for its use on Mars. The instrument is based on native fluorescence and employs four excitation wavelengths combined with four emission
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7046929f6a6ffdeb33cc9120456e751c
https://pubmed.ncbi.nlm.nih.gov/22352702
https://pubmed.ncbi.nlm.nih.gov/22352702