American Journal of Operations Research

American Journal of Operations Research

ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.org/journal/ajor
E-mail: ajor@scirp.org
"Optimal Search for Hidden Targets by Unmanned Aerial Vehicles under Imperfect Inspections"
written by Boris Kriheli, Eugene Levner, Alexander Spivak,
published by American Journal of Operations Research, Vol.6 No.2, 2016
has been cited by the following article(s):
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[1] Supervised learning for maritime search operations: An artificial intelligence approach to search efficiency evaluation
Robillard, M Morin, I Abi-Zeid - Expert Systems with …, 2022
[2] Minimum Uniform Search Track Placement for Rectangular Regions
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[3] Multi-Agent Active Search using Realistic Depth-Aware Noise Model
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[4] A decision-theoretic approach to acquire environmental information for improved subsea search performance
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[5] Online planning for autonomous underwater vehicles performing information gathering tasks in large subsea environments
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[6] Decision Support for Planning Maritime Search and Rescue Operations in Canada.
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[7] Online Planning for Autonomous Underwater Vehicles Performing Information Gathering Tasks in Large Subsea Environments.
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[8] Decision Support for Planning Maritime Search and Rescue Operations in Canada
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[9] Decision Science Letters
2018
[10] A new MCDM-based approach using BWM and SAW for optimal search model
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[11] Decision Support for Search and Rescue Response Planning.
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[12] Scheduling an autonomous robot searching for hidden targets
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[13] A Fast Algorithm for Detecting Hidden Objects by Smart Mobile Robots
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[14] Towards real-time search planning in subsea environments
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[15] Decision Support for Search and Rescue Response Planning
Proceedings of the 14th ISCRAM Conference, 2017
[16] Environmental Information Improves Robotic Search Performance
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[17] Connectivity Maintenance Based on Multiple Relay UAVs Selection Scheme in Cooperative Surveillance
Applied Sciences, 2016
[18] A Multi-Agent System to aid the Automation of Search and Examination in Hazardous Environments
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