{"id":"W4404387689","doi":"10.18280/ts.410534","title":"Deep Reinforcement Learning-Based Signal Processing for Cell-Free Massive MIMO Networks in Coal Mine Power Grids","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Coal; MIMO; Reinforcement; Computer science; Power (physics); SIGNAL (programming language); Signal processing; Artificial intelligence; Mining engineering; Geology; Telecommunications; Engineering; Computer hardware; Digital signal processing; Physics; Structural engineering; Waste management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004447055,0.0004650743,0.0003793075,0.0002847645,0.0001289445,0.0002219664,0.0003666467,0.0002130949,0.00064641],"category_scores_gemma":[0.000008362043,0.0004777356,0.0001804243,0.0004019281,0.00006563392,0.0002601746,0.00005986548,0.000583015,0.00001561337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376514,"about_ca_system_score_gemma":0.00008869439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009579116,"about_ca_topic_score_gemma":0.00004428836,"domain_scores_codex":[0.9974892,0.00004735532,0.0006838522,0.0004749361,0.000433317,0.0008713921],"domain_scores_gemma":[0.9992473,0.00023618,0.00007211166,0.0002065423,0.00006960352,0.0001683104],"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":[0.0001378756,0.00007192166,0.0003038459,0.0005046297,0.00006498178,0.00008320739,0.000457865,0.9871373,0.0007921317,0.0001048087,0.005185003,0.005156386],"study_design_scores_gemma":[0.002131569,0.0003865068,0.0002418489,0.0004829788,0.00006419769,0.00000296519,0.0001384935,0.9901779,0.001297738,0.00004945711,0.004491127,0.0005352417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02342641,0.002462451,0.970261,0.0001869073,0.0004300097,0.001030373,0.000008698335,0.0006504785,0.001543618],"genre_scores_gemma":[0.9970988,0.00001815689,0.001198803,0.0001123149,0.0006083932,0.00044634,0.0002000921,0.0001441573,0.0001729242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736724,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007614251664086743,"score_gpt":0.2077975688506038,"score_spread":0.2001833171865171,"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."}}