{"id":"W4316464173","doi":"10.18280/ts.390601","title":"Optimized FPGA-Based Implementation of Brain Tumor Detection by Combining K-Means and Grey Wolf Optimization Algorithms","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field-programmable gate array; Computer science; Optimization algorithm; Algorithm; Artificial intelligence; Computer hardware; Mathematics; Mathematical optimization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005673758,0.0001595854,0.0001707443,0.0001981377,0.0005032547,0.00006209523,0.0001379814,0.00002414962,0.001679572],"category_scores_gemma":[0.00005474704,0.0001815811,0.00005992566,0.0004526557,0.00008018009,0.0002141432,0.00004283631,0.0001602296,0.000001782151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356437,"about_ca_system_score_gemma":0.00004664813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004306796,"about_ca_topic_score_gemma":0.000004516128,"domain_scores_codex":[0.9979817,0.0004228946,0.0004575524,0.0004189255,0.0005042099,0.0002147308],"domain_scores_gemma":[0.9991826,0.0001983661,0.0003636677,0.0001298501,0.00004961126,0.00007585973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002718826,0.0002576087,0.0000918307,0.00003024671,0.00001191806,0.00000363291,0.0005941733,0.1480896,0.8216069,0.0001695476,0.0004834944,0.02838919],"study_design_scores_gemma":[0.003095235,0.0005155096,0.0003284118,0.000004747842,0.00001800939,0.00001646725,0.001128112,0.549194,0.4447579,0.00003369916,0.0007406976,0.0001671512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3264344,0.00002000152,0.6703177,0.001442646,0.0002772891,0.0009735397,0.0001663784,0.0001883194,0.0001797219],"genre_scores_gemma":[0.9964719,0.000003215079,0.001983231,0.001122469,0.00002516631,0.0002559051,0.00006848108,0.00002559702,0.00004398461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6700375,"threshold_uncertainty_score":0.999233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252877204902715,"score_gpt":0.2642031973176129,"score_spread":0.2416744252685858,"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."}}