{"id":"W7124982795","doi":"10.1109/sensors59705.2025.11330255","title":"SincNet-RNN Hybrid Neural Network for Detecting Industrial Faults Through Ultrasonic Signal Processing","year":2025,"lang":"","type":"article","venue":"","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Ultrasonic sensor; Artificial neural network; Signal processing; Waveform; Feature extraction; Filter (signal processing); Fault (geology); Leverage (statistics)","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":[0.0006213973,0.0006621242,0.0003815426,0.0005919365,0.0002884125,0.0005477964,0.0009474625,0.0006829668,0.002024249],"category_scores_gemma":[0.001031078,0.0002885668,0.0003762643,0.0006214103,0.0002515062,0.0007651625,0.0005122098,0.0007112561,0.0006028354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514871,"about_ca_system_score_gemma":0.000802691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009777294,"about_ca_topic_score_gemma":0.01421646,"domain_scores_codex":[0.9997886,0.00002816598,0.00001283831,0.00006685557,0.00007397577,0.00002949017],"domain_scores_gemma":[0.9996995,0.00008604765,0.00002613992,0.00002319139,0.0001530251,0.00001221947],"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":[0.0002649683,0.0001522588,0.002779036,0.0001721327,0.0001001304,0.0001724798,0.00005953152,0.5977708,0.02237207,0.002846412,0.003123028,0.3701872],"study_design_scores_gemma":[0.00000195451,0.00002588368,0.0002180511,0.000004659224,0.000006238251,0.00001455847,0.00000298987,0.9968172,0.002306953,0.0002835005,0.0003138487,0.000004077785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08766538,0.001235961,0.9007761,0.0003153693,0.000265158,0.00008309884,0.0002377489,0.003124994,0.006296213],"genre_scores_gemma":[0.864287,0.0004725712,0.1251788,0.0001874211,0.00004118069,0.0001124288,0.000434291,0.00006913682,0.009217174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009777294,"threshold_uncertainty_score":0.01944077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346973447327118,"score_gpt":0.2503501583521011,"score_spread":0.2268804238788299,"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."}}