{"id":"W7126271076","doi":"10.18280/isi.301201","title":"Resistive Random-Access Memory Design for Image Enhancement in Edge Devices","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resistive touchscreen; Enhanced Data Rates for GSM Evolution; Image (mathematics); Image enhancement; Image processing; Edge detection; Power (physics)","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":[0.001248405,0.0005026105,0.0006708921,0.0007362103,0.0005116144,0.0005495786,0.0004931333,0.0002227179,0.0000400348],"category_scores_gemma":[0.0008444152,0.0005590269,0.000161291,0.00100967,0.0001458503,0.006417749,0.0001869072,0.0003404935,0.00003405527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000966583,"about_ca_system_score_gemma":0.000198993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000295069,"about_ca_topic_score_gemma":0.00002203844,"domain_scores_codex":[0.9969055,0.0001659058,0.001651148,0.0003110908,0.0002241426,0.0007421904],"domain_scores_gemma":[0.9978468,0.0009189077,0.0004423572,0.0003352157,0.0003654332,0.00009122331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004289024,0.0001315574,0.0001569021,0.01920089,0.0003830783,0.00001839116,0.01704109,0.4776731,0.01304522,0.002094544,0.002049788,0.4639164],"study_design_scores_gemma":[0.01049227,0.0003580745,0.002204864,0.00736217,0.0002148753,0.00001302249,0.004184624,0.4177594,0.539914,0.01100872,0.004981847,0.001506146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07475831,0.001668372,0.9093475,0.00005511974,0.001583321,0.002844385,0.00002834173,0.0001894834,0.009525153],"genre_scores_gemma":[0.9835706,0.0002896234,0.01475146,0.0002631971,0.0001293281,0.0006168376,0.00007061275,0.00003195858,0.0002763381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9088123,"threshold_uncertainty_score":0.9996861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372313442584776,"score_gpt":0.2834831260435388,"score_spread":0.259759991617691,"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."}}