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Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness., , , , , и . IBICA, том 303 из Advances in Intelligent Systems and Computing, стр. 83-92. Springer, (2014)PSilhOuette: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver CT Image Segmentation., , и . AMLTA, том 488 из Communications in Computer and Information Science, стр. 331-343. Springer, (2014)Benchmark of swarm robotics distributed techniques in a search task., , , и . Robotics Auton. Syst., 62 (2): 200-213 (2014)Darwinian swarm exploration under communication constraints: Initial deployment and fault-tolerance assessment., , , и . Robotics Auton. Syst., 62 (4): 528-544 (2014)A fuzzified systematic adjustment of the robotic Darwinian PSO., , , и . Robotics Auton. Syst., 60 (12): 1625-1639 (2012)A fractional calculus approach for the evaluation of the golf lip-out., , , и . Signal Image Video Process., 6 (3): 437-443 (2012)Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation., , , и . Applications of Intelligent Optimization in Biology and Medicine, том 96 из Intelligent Systems Reference Library, Springer, (2016)Marsupial teams of robots: deployment of miniature robots for swarm exploration under communication constraints., , , и . Robotica, 32 (7): 1017-1038 (2014)An efficient method for segmentation of images based on fractional calculus and natural selection., , , и . Expert Syst. Appl., 39 (16): 12407-12417 (2012)Human-Aware Collaborative Robots in the Wild: Coping with Uncertainty in Activity Recognition., , , и . Sensors, 23 (7): 3388 (апреля 2023)