{"id":"W4297990537","doi":"10.1109/balkancom55633.2022.9900681","title":"Density-Based Clustering and Performance Enhancement of Aeronautical Ad Hoc Networks","year":2022,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cluster analysis; DBSCAN; Computer science; Network packet; Euclidean distance; Wireless ad hoc network; Data mining; Real-time computing; Computer network; Correlation clustering; Artificial intelligence; CURE data clustering algorithm; Telecommunications","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":[0.001212058,0.0005940528,0.0006867138,0.001435053,0.0007067099,0.0007903237,0.001446197,0.0005881414,0.0006845731],"category_scores_gemma":[0.005351179,0.000291222,0.0003089787,0.001790588,0.000353595,0.001105508,0.0009417963,0.0005279183,0.0003924297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170343,"about_ca_system_score_gemma":0.0006971223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008925949,"about_ca_topic_score_gemma":0.006557757,"domain_scores_codex":[0.9989396,0.0003073621,0.00004668425,0.0001363855,0.0004611461,0.0001089103],"domain_scores_gemma":[0.9979723,0.0007327168,0.0001274334,0.0002388064,0.0008618812,0.0000668085],"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":[0.0002593833,0.0001417617,0.00324114,0.000136417,0.00007057661,0.00009066072,0.0001880751,0.7268626,0.007548259,0.00960861,0.004131758,0.2477207],"study_design_scores_gemma":[0.000005816214,0.00005821595,0.0007992847,0.000004785082,0.000008446964,0.0000611205,0.00003641251,0.9936632,0.002537326,0.001899812,0.0009134567,0.0000121855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.135428,0.003274763,0.8485191,0.0006029863,0.000261367,0.0001742844,0.0002187217,0.002371716,0.00914909],"genre_scores_gemma":[0.8781384,0.001074947,0.1183681,0.00008557893,0.0000821181,0.00008790415,0.0003202645,0.00006779685,0.001774782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008925949,"threshold_uncertainty_score":0.017748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005890865639249842,"score_gpt":0.182604681741691,"score_spread":0.1767138161024411,"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."}}