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Predicting the navigation performance of underwater vehicles.. IROS, стр. 261-266. IEEE, (2009)Multi-robot cooperative control for monitoring and tracking dynamic plumes., , и . ICRA, стр. 67-73. IEEE, (2014)Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models., , , , , , , , , и 5 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Techniques for Deep Sea Near Bottom Survey Using an Autonomous Underwater Vehicle., , , и . ISRR, том 28 из Springer Tracts in Advanced Robotics, стр. 416-429. Springer, (2005)Robotic experiments to evaluate ocean plume characteristics and structure., , , , , и . IROS, стр. 6098-6104. IEEE, (2017)Evaluation of the Robot Operating System 2 in Lossy Unmanned Networks., , , и . SysCon, стр. 1-8. IEEE, (2020)DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Techniques for Deep Sea Near Bottom Survey Using an Autonomous Underwater Vehicle., , , и . Int. J. Robotics Res., 26 (1): 41-54 (2007)Performance Study of the Robot Operating System 2 with QoS and Cyber Security Settings., , , и . SysCon, стр. 1-6. IEEE, (2020)Robotic simulation of dynamic plume tracking by Unmanned Surface Vessels., , , и . ICRA, стр. 2654-2659. IEEE, (2015)