{"id":"W4405908886","doi":"10.1109/wf-iot62078.2024.10811440","title":"Delay Minimization in UAV-Enabled MEC Networks Using Q-Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Minification; Computer science; Real-time computing; Artificial intelligence","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":[0.000943724,0.0006488385,0.0007506072,0.0003641267,0.0006682554,0.0007390181,0.001108513,0.0006732197,0.001331872],"category_scores_gemma":[0.002412325,0.0002252094,0.0002419457,0.0004799149,0.0005923431,0.00108384,0.0008243329,0.000572991,0.000182725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032248,"about_ca_system_score_gemma":0.001347423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00620514,"about_ca_topic_score_gemma":0.00509199,"domain_scores_codex":[0.999595,0.000101402,0.00001704234,0.00009857657,0.00007017377,0.0001178218],"domain_scores_gemma":[0.9985733,0.0009038265,0.0001380326,0.00006467725,0.0002421432,0.00007793274],"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":[0.0001749647,0.00008988682,0.0009885812,0.00004601261,0.0000191221,0.00007018496,0.00005735867,0.9370762,0.003596756,0.00343437,0.000797648,0.05364899],"study_design_scores_gemma":[0.000006212685,0.00002443506,0.00004527963,0.000001405774,0.000001889812,0.000008365233,0.000007731184,0.998401,0.0004944368,0.0009055184,0.0001021221,0.000001524447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.099636,0.0004644834,0.8962872,0.0003036278,0.00007626213,0.00008257267,0.00004516159,0.0003889886,0.002715764],"genre_scores_gemma":[0.9447118,0.0001331904,0.05376972,0.0001220424,0.00002240756,0.000051764,0.00005045362,0.00002296714,0.001115756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00620514,"threshold_uncertainty_score":0.01233804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232354605865348,"score_gpt":0.241005798937845,"score_spread":0.2286822528791916,"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."}}