{"id":"W4392350016","doi":"10.18280/ts.410141","title":"Optimization of Deep Neural Networks for Enhanced Efficiency in Small Scale Autonomous Vehicles","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University; Princess Nourah Bint Abdulrahman University","keywords":"Bespoke; Computer science; Artificial neural network; Deep learning; Artificial intelligence; Architecture; Latency (audio); Scale (ratio); Distributed computing; Process (computing); Computer architecture; Network architecture; Deep neural networks; Embedded system; Computer network; Telecommunications","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":[0.0001817775,0.0001325796,0.0001525947,0.0001172339,0.00006664034,0.00006751008,0.0004514817,0.00004597491,0.00001447134],"category_scores_gemma":[0.000005399097,0.0001296695,0.0000713016,0.0006197674,0.00004437215,0.0002462791,0.00007441482,0.00009680435,0.000001773892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000551802,"about_ca_system_score_gemma":0.00002250087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003403677,"about_ca_topic_score_gemma":0.00001994387,"domain_scores_codex":[0.9987967,0.00003146632,0.0003773051,0.000397298,0.0001114434,0.0002858109],"domain_scores_gemma":[0.9994038,0.0002145942,0.00007504053,0.0002040726,0.00005060274,0.00005183705],"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":[0.000009534003,0.00006499601,0.00002147168,0.0000220268,0.00000424873,0.000001137039,0.0002701072,0.9062108,0.002892789,0.005205755,0.00001353025,0.08528355],"study_design_scores_gemma":[0.0002871053,0.0001198391,0.000177806,0.00002450991,0.000006866619,0.000001966034,0.0000114187,0.9935818,0.004676669,0.0009212084,0.00006394267,0.0001268288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03419734,0.0003372788,0.9641213,0.0003285033,0.0001513048,0.000609331,0.000003226512,0.0001637663,0.00008796878],"genre_scores_gemma":[0.89523,0.00001148592,0.1043484,0.00008672501,0.00008466252,0.0001989181,0.00001187556,0.00001295519,0.00001498657],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8610327,"threshold_uncertainty_score":0.528777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437304859605395,"score_gpt":0.2463157179238485,"score_spread":0.2319426693277945,"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."}}