将未来的知识库系统与人工智能/机器学习引擎相结合,以最大限度地提高决策支持的可靠性和可用性

IF 0.5 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Military Operations Research Pub Date : 2021-12-01 DOI:10.5711/1082598326477
K. Miller, A. Bordetsky, J. C. Mun, R. Maule, A. Pollman
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Merging Future Knowledgebase System of Systems with Artificial Intelligence/Machine Learning Engines to Maximize Reliability and Availability for Decision Support
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来源期刊
Military Operations Research
Military Operations Research Engineering-Mechanical Engineering
CiteScore
0.40
自引率
0.00%
发文量
0
期刊介绍: Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.
期刊最新文献
A New Age in Conflict: A Statistical Analysis of the Maneuver Battle Lab’s 10x Combat Simulation Cloud Characterization with a Convolutional Neural Network Using Ground Weather Radar Scans Merging Future Knowledgebase System of Systems with Artificial Intelligence/Machine Learning Engines to Maximize Reliability and Availability for Decision Support Fog Computing Resource Management for Video Processing Using Evolutionary Bayesian Optimization and Nondeterministic Deep Reinforcement Learning Military Operations Research Society (MORS) Oral History Project Interview of Dr. Janet A. McLeavey
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