{"id":"W4412419824","doi":"10.18280/mmep.120629","title":"Optimized Feature Refinement Using a GAN-Enhanced Deep Learning Model with RBF-Based Aerial Blurred Image Classification","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Feature (linguistics); Computer science; Image (mathematics); Aerial image; Computer vision; Deep learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0001176432,0.0002710216,0.0003038171,0.0001149549,0.0001326038,0.00009365945,0.00009485144,0.0001130297,0.000004453967],"category_scores_gemma":[0.00001493357,0.0002430704,0.00004634606,0.0002509015,0.00003314506,0.0001057346,0.00001586812,0.0003268919,0.000002227336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007389094,"about_ca_system_score_gemma":0.0000177893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001583267,"about_ca_topic_score_gemma":2.593844e-7,"domain_scores_codex":[0.9989576,0.000007006131,0.0002847414,0.0002886964,0.0001405943,0.00032131],"domain_scores_gemma":[0.9995307,0.00006305714,0.00004044483,0.0002184772,0.00005942945,0.00008787225],"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":[0.00001145726,0.00002817345,1.807417e-7,0.0005085213,0.00003051805,3.958885e-7,0.0001243715,0.9759805,0.01902318,0.003573103,0.000003785995,0.0007157774],"study_design_scores_gemma":[0.0006717914,0.00001631861,6.501976e-7,0.0003708595,0.00005607739,0.000001919719,0.0000281477,0.992754,0.002779588,0.002955805,0.00009375145,0.000271089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00990703,0.0001497869,0.9883537,0.00008260468,0.000037026,0.0003469961,0.000003090438,0.0005585357,0.0005612722],"genre_scores_gemma":[0.4294242,0.00003765828,0.5702111,0.000006243244,0.0000236049,0.0001425979,0.00001270009,0.00004423677,0.00009774306],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4195172,"threshold_uncertainty_score":0.9912125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579951094867024,"score_gpt":0.2262399583656734,"score_spread":0.2104404474170031,"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."}}