{"id":"W4409793697","doi":"10.61091/jcmcc127a-212","title":"Research on Optimization Techniques for Target Tracking in Video Image Signal Processing Based on Multiscale Convolutional Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Computer vision; Tracking (education); Image processing; Image (mathematics); SIGNAL (programming language); Signal processing; Pattern recognition (psychology); Digital signal processing; Computer hardware; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362688,0.0001974341,0.0004036662,0.0004097463,0.0002995825,0.0001714741,0.0002127103,0.0001466593,0.000001901311],"category_scores_gemma":[0.0001441414,0.0001913379,0.00008779794,0.0005119968,0.00007033506,0.0001659077,0.00003950032,0.0006712733,1.307266e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872256,"about_ca_system_score_gemma":0.0000725712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001254414,"about_ca_topic_score_gemma":1.426368e-7,"domain_scores_codex":[0.9983432,0.00005391137,0.0007327314,0.000177681,0.0003745669,0.0003179175],"domain_scores_gemma":[0.9978876,0.00116015,0.0002220307,0.0001136291,0.0005432313,0.00007343014],"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":[0.0001075064,0.0003870464,0.00002189769,0.000210237,0.0000156539,0.000003717819,0.00007318091,0.8756247,0.0002030708,0.1130494,0.0001767828,0.01012687],"study_design_scores_gemma":[0.001955603,0.0002951659,0.00002764355,0.000688474,0.00001227594,0.000002586778,0.00009460324,0.9090565,0.001163079,0.08642308,0.0001336831,0.0001472544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01028739,0.0001326033,0.9866168,0.0001244414,0.001718458,0.0005408616,0.00000373643,0.00006901313,0.0005066207],"genre_scores_gemma":[0.9041691,0.000008428055,0.0950918,0.0000188579,0.0006514084,0.00002338741,0.000004180335,0.00003137456,0.000001496722],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8938817,"threshold_uncertainty_score":0.7802535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696308452591913,"score_gpt":0.3153422992799265,"score_spread":0.2983792147540074,"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."}}