{"id":"W4281754944","doi":"10.1117/12.2618832","title":"Convolutional neural networks and wavelets for drone classification","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Drone; Artificial intelligence; Convolutional neural network; Radar; Computer science; Wavelet; Pattern recognition (psychology); Discrete wavelet transform; Wavelet transform; Feature extraction; Computer vision; 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":[0.0005316921,0.0006097096,0.0003845351,0.0005523702,0.0001368208,0.0005553195,0.0004876056,0.0006483214,0.001367983],"category_scores_gemma":[0.001504753,0.0002327705,0.0003746543,0.0008753898,0.000262512,0.0006114572,0.0003604352,0.000780844,0.0003863256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005550049,"about_ca_system_score_gemma":0.0002953364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007185687,"about_ca_topic_score_gemma":0.004710129,"domain_scores_codex":[0.9998317,0.000039135,0.00001123821,0.00004241526,0.00004894026,0.00002658949],"domain_scores_gemma":[0.9996418,0.0001874914,0.00004902822,0.0000369781,0.00007119332,0.00001368259],"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":[0.0001489716,0.00007416204,0.002787508,0.0001295894,0.00010255,0.0001156278,0.00003628522,0.7244713,0.009083344,0.01194507,0.002353592,0.248752],"study_design_scores_gemma":[0.000001843268,0.0000114025,0.0004421596,0.00000630561,0.000005217617,0.00001032279,0.000003869535,0.9959149,0.0008907128,0.002225219,0.0004846559,0.000003481647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1175463,0.007015611,0.8672377,0.00107887,0.0002632139,0.00004775339,0.0005528307,0.001089005,0.00516862],"genre_scores_gemma":[0.862361,0.003943459,0.1256554,0.0001576228,0.0002241545,0.00005917419,0.0008289104,0.00007925015,0.00669108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007185687,"threshold_uncertainty_score":0.01428777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634743333340279,"score_gpt":0.2364369490645258,"score_spread":0.220089515731123,"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."}}