{"id":"W4390659127","doi":"10.1109/tmc.2024.3350885","title":"UAV Swarm-Enabled Collaborative Secure Relay Communications With Time-Domain Colluding Eavesdropper","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Relay; Swarm behaviour; Beamforming; Computer network; Optimization problem; Base station; Energy consumption; Terminal (telecommunication); Real-time computing; Telecommunications; Algorithm; Artificial intelligence; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004052385,0.0007762541,0.0005932359,0.0002190207,0.0002840339,0.0004861778,0.0005362815,0.0005014951,0.0006758979],"category_scores_gemma":[0.0007667102,0.0001844798,0.0004239264,0.0002822046,0.0004202422,0.0006588862,0.0007487729,0.0004499652,0.0001692027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002709,"about_ca_system_score_gemma":0.0003657792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483448,"about_ca_topic_score_gemma":0.001200473,"domain_scores_codex":[0.9997056,0.00009744373,0.00001360926,0.00006987686,0.0000658091,0.00004771805],"domain_scores_gemma":[0.9996994,0.0001344396,0.00005853301,0.00003596759,0.00005091852,0.00002082562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001684021,0.00003211964,0.0006983063,0.0001095927,0.00007411789,0.0003650011,0.0001411313,0.9383841,0.01831784,0.00961197,0.0007490326,0.03134852],"study_design_scores_gemma":[0.000009840467,0.00008710829,0.00009567686,0.000002806462,0.0000147321,0.00005051225,0.0000247038,0.9960232,0.001971185,0.00137759,0.0003379873,0.000004725228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06501015,0.0003693172,0.9317396,0.0001110498,0.00003607143,0.00002557691,0.00002546942,0.0001573515,0.002525493],"genre_scores_gemma":[0.965689,0.0001939361,0.03283055,0.00003462203,0.000012681,0.00003309219,0.00002384742,0.00000946612,0.001172848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001483448,"threshold_uncertainty_score":0.002949595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005805909457040423,"score_gpt":0.2228438540765966,"score_spread":0.2170379446195561,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}