{"id":"W4389332149","doi":"10.1109/tcc.2023.3339394","title":"Integrated Computation Offloading, UAV Trajectory Control, Edge-Cloud and Radio Resource Allocation in SAGIN","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministère de la Défense Nationale; Innovation for Defence Excellence and Security","keywords":"Computer science; Computation offloading; Cloud computing; Trajectory optimization; Scheduling (production processes); Resource allocation; Computation; Optimization problem; Convex optimization; Edge computing; Mathematical optimization; Server; Real-time computing; Distributed computing; Optimal control; Computer network; Regular polygon; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003272555,0.0002075853,0.0002193687,0.0004149334,0.0002020484,0.00006817248,0.0001010627,0.00009290906,0.00001042126],"category_scores_gemma":[0.000006145101,0.0002419919,0.0000504822,0.001097416,0.00004247057,0.0000907767,0.000001311586,0.0003461386,0.00004051045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744941,"about_ca_system_score_gemma":0.00002399029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005915561,"about_ca_topic_score_gemma":0.0000708994,"domain_scores_codex":[0.9987891,0.00007623686,0.0003990247,0.000301842,0.0001493895,0.0002844195],"domain_scores_gemma":[0.999417,0.0002405794,0.00005298247,0.0001632902,0.00005099108,0.00007514644],"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":[0.00001365819,0.00003328342,0.00004928863,0.00003224775,0.00002662533,0.000002850681,0.0006075439,0.9622962,0.001539977,0.00005343277,0.0004757684,0.03486915],"study_design_scores_gemma":[0.0008912781,0.00003383885,0.001292114,0.00008632967,0.00002311128,0.00001169626,0.0002629238,0.995373,0.001171816,0.00005092015,0.0005760733,0.000226925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3300893,0.00004804726,0.6681456,0.00009402948,0.0004256663,0.00026912,0.00001019337,0.000678529,0.0002395711],"genre_scores_gemma":[0.9970894,0.00004915765,0.002512014,0.00005199311,0.0001174081,0.00003311413,0.00003777754,0.00005230109,0.00005685625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6670001,"threshold_uncertainty_score":0.9868145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139100052488547,"score_gpt":0.2218120329281671,"score_spread":0.2104210324032816,"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."}}