{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005393622,0.00004694177,0.00004567019,0.00002482369,0.00008262152,0.000007037112,0.00004389792,0.00001170179,0.00003467894],"category_scores_gemma":[0.000005168082,0.00005318374,0.00001201515,0.00004148723,0.00001668566,0.00005769943,0.0000282957,0.00007828847,2.84087e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005230244,"about_ca_system_score_gemma":0.00000216972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001066729,"about_ca_topic_score_gemma":6.900971e-7,"domain_scores_codex":[0.9997038,0.000005735752,0.00006796065,0.0000782487,0.00004691874,0.00009729266],"domain_scores_gemma":[0.9998624,0.00003287178,0.000008894556,0.00006707942,0.0000108509,0.00001794694],"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":[0.00004284844,0.00004672446,0.001915669,0.00006145934,0.00004608632,0.000003133334,0.0001173853,0.658221,0.02416579,0.103,0.09689693,0.115483],"study_design_scores_gemma":[0.0001025839,0.00001418603,0.001259076,5.539654e-7,0.000002278034,0.000008911804,0.00001847556,0.9842203,0.0001884991,0.001995774,0.01212257,0.0000667595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008979052,0.0002262758,0.9888739,0.0002830569,0.0001215611,0.0001740332,0.000009540105,0.000662361,0.0006702137],"genre_scores_gemma":[0.9734891,0.0000087474,0.0260249,0.00009486082,0.00003729522,0.0001529827,0.00003463956,0.00001528965,0.0001421636],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9645101,"threshold_uncertainty_score":0.216877,"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."}}