Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Myron Hohil"'
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Introduction to SPIE Defense and Commercial Sensing conference 11746: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acffb4fb2462382174499e96f6fe537f
https://doi.org/10.1117/12.2597578
https://doi.org/10.1117/12.2597578
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
In this paper, we propose an energy efficient cooperative monitoring algorithm for detecting and localizing adversarial communications in the presence of malicious reporting, Our solution is based on a combination of a game theory formulation for dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bea0eff575e4f0d64e729fb33cd1a5f
https://doi.org/10.1117/12.2588038
https://doi.org/10.1117/12.2588038
Publikováno v:
SPIE Proceedings.
Feature extraction methods based on the statistical analysis of the change in event pressure levels over a period and the level of ambient pressure excitation facilitate the development of a robust classification algorithm. The features reliably disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfaaeb826d04b64c378cbd07f2b968b5
https://doi.org/10.1117/12.777935
https://doi.org/10.1117/12.777935
Publikováno v:
SPIE Proceedings.
Integrating a sensor suite with ability to discriminate potential Chemical/Biological (CB) events from high-explosive (HE) events employing an acoustic sensor array with a Time Difference of Arrival (TDOA) algorithm. Developing a cueing mechanism for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bf29e3793a24734799312402439ddbb
https://doi.org/10.1117/12.777913
https://doi.org/10.1117/12.777913
Publikováno v:
SPIE Proceedings.
Proposed are techniques toward using collaborative robots for infrastructure security applications by utilizing them for mobile sensor suites. A vast number of critical facilities/technologies must be protected against unauthorized intruders. Employi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29128f15b37fe0cc42d23649929f8771
https://doi.org/10.1117/12.738196
https://doi.org/10.1117/12.738196
Publikováno v:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V.
Feature extraction methods based on the discrete wavelet transform and multiresolution analysis facilitate the development of a robust classification algorithm that reliably discriminates between launch and impact mortar events via acoustic signals p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75f9ac2f7855dd54f6ae1533e0011800
https://doi.org/10.1117/12.667857
https://doi.org/10.1117/12.667857
Publikováno v:
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV.
Feature extraction methods based on the discrete wavelet transform (DWT) and multiresolution analysis are used to develop a robust classification algorithm that reliably discriminates between launch and impact artillery and/or mortar events via acous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::267ebe5ca06c6a9eb8aeaabdc0e09cdc
https://doi.org/10.1117/12.667877
https://doi.org/10.1117/12.667877