Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Amir Morcos"'
Publikováno v:
Artificial Intelligence and Machine Learning in Defense Applications IV.
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Multi-Agent Reinforcement Learning (RL) algorithms have recently demonstrated their ability to discover/develop new strategies to solving problems. This work aims to apply this same methodology to solving convex optimization problems in an attempt to
Autor:
Amir Morcos, Sachi Desai
Publikováno v:
SPIE Proceedings.
Herein is described the U.S. Army RDECOM-ARDEC's purpose and series of activities conducted at the 2008 NATO SET-093 TG-53 experiment and field test. The overall purpose of the field test as stated by SET-093 panel was to provide a baseline test capa
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
Publikováno v:
SPIE Proceedings.
An acoustic array, integrated with an algorithm to discriminate potential Launch (LA) or Impact (IM) events, was augmented by employing the Launch Impact Discrimination (LID) algorithm for mortar events. We develop an added situational awareness capa
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
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
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
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