{"id":"W4406417855","doi":"10.1109/ic3i61595.2024.10829291","title":"Deep Reinforcement Learning for IoT-Based Smart Traffic Management Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Reinforcement learning; Internet of Things; Computer science; Artificial intelligence; Computer security","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":[0.0003524622,0.00009972445,0.0000892313,0.0001425597,0.0001726176,0.0004254551,0.0002577805,0.00004281437,0.00004323666],"category_scores_gemma":[0.000004273485,0.00008617518,0.00008109559,0.0003168748,0.000009845551,0.0001481906,0.00006645717,0.0001010257,0.0001078337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006689374,"about_ca_system_score_gemma":0.00002056927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009067029,"about_ca_topic_score_gemma":0.000007839583,"domain_scores_codex":[0.9990339,0.00003110464,0.0002002872,0.0003047022,0.0002059709,0.0002240787],"domain_scores_gemma":[0.9996079,0.0000727584,0.00002675913,0.0002106972,0.00002949558,0.00005239345],"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":[0.000005649797,0.00000893453,5.705774e-7,0.0001732703,0.00002099436,0.000006069278,0.00009246996,0.7710537,0.00001112784,0.1338264,0.002363681,0.0924371],"study_design_scores_gemma":[0.0001410375,0.0001402277,0.000002678151,0.00006749516,0.000007336944,0.000002736547,0.00003063773,0.8044248,0.0001162622,0.0001246526,0.1948464,0.00009582507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006416696,0.0003901439,0.9894469,0.0003910203,0.001825908,0.0004272744,4.695751e-8,0.0006629988,0.006214042],"genre_scores_gemma":[0.9833726,0.00002488408,0.009905438,0.0002039707,0.0001415242,0.0001490081,0.000004175104,0.00001023171,0.006188126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.982731,"threshold_uncertainty_score":0.4102673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285795256564996,"score_gpt":0.2286821652996928,"score_spread":0.2158242127340429,"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."}}