Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Greg Cirincione"'
Autor:
Gavin Pearson, Elisa Bertino, Shonda Witherspoon, Amani Abu Jabal, Ananthram Swami, Irene Manotas, Dinesh C. Verma, Greg Cirincione, Geeth de Mel, Seraphin Calo
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
When training data for machine learning is obtained from many different sources, not all of which may be trusted, it is difficult to determine which training data to accept and which to reject. A policy-based approach for data curation, where the pol
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
It is readily evident that the U.S. Army must establish an artificial intelligence (AI) and machine learning (ML) science and technology (S and T) strategy to rapidly capture, develop, and field the steady stream of discoveries and innovations derive
Autor:
Supriyo Chakraborty, Greg Cirincione, Graham White, Stepehen Pasteris, Simon Julier, Dinesh C. Verma
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
A Federated Learning approach consists of creating an AI model from multiple data sources, without moving large amounts of data across to a central environment. Federated learning can be very useful in a tactical coalition environment, where data can
Autor:
Ananthram Swami, Geeth de Mel, Irene Manotas, Elisa Bertino, Amani Abu Jabal, Shonda Witherspoon, Dinesh C. Verma, Greg Cirincione, Seraphin Calo, Gavin Pearson
Publikováno v:
Policy-Based Autonomic Data Governance ISBN: 9783030172763
PADG@ESORICS
PADG@ESORICS
In any machine learning problem, obtaining and acquiring good training data is the main challenge that needs to be overcome to build a good model. When applying machine learning approaches in the context of coalition operations, one may only be able
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2324622ba56f0b261ada539b518b9c9
https://doi.org/10.1007/978-3-030-17277-0_3
https://doi.org/10.1007/978-3-030-17277-0_3
Publikováno v:
FUSION
When sensor fusion operations are conducted in coalition environments, security of the data and infrastructure used for model fusion are very important. AI enabled sensor fusion infrastructure can be attacked on many fronts, including attacks on the
Publikováno v:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX.
AI (Artificial Intelligence)-based algorithms have great potential for inter-operation of coalition ISR (intelligence, surveillance, and reconnaissance) systems, but rely on realistic data for training and validation. Getting such data for coalition
Publikováno v:
ICDCN Workshops
Many real-world IoT solutions have to be implemented in a federated environment, which are environments where many different administrative organizations are involved in different parts of the solution. Smarter Cities, Federated Governance, Internati
Autor:
Greg Cirincione, Jay Gowens
Publikováno v:
IEEE Communications Magazine. 45:14-18
Publikováno v:
IEEE Internet Computing. 3:63-70
Internet-based mobile ad hoc networking is an emerging technology that supports self-organizing, mobile networking infrastructures. The technology enables an autonomous system of mobile nodes, which can operate in isolation or be connected to the gre
Autor:
Srikanth V. Krishnamurthy, Amotz Bar-Noy, Prasant Mohapatra, T. F. LaPorta, Ramesh Govindan, Michael J. Neely, Aylin Yener, Greg Cirincione
Publikováno v:
PerCom Workshops
In tactical military networks, decisions must often be made quickly based on information at hand. It is a challenge to provide decision makers with a notion of the quality of the information they have, or to provide a method by which decision makers