{"id":"W4410229530","doi":"10.1109/wcnc61545.2025.10978140","title":"Energy Consumption Reduction for UAV Trajectory Training: A Transfer Learning Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Trajectory; Reduction (mathematics); Energy consumption; Computer science; Transfer of learning; Training (meteorology); Consumption (sociology); Artificial intelligence; Engineering; Meteorology; Mathematics; Electrical engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005615898,0.0005963359,0.000492799,0.0003623843,0.0003536327,0.0003106312,0.001122738,0.0006953607,0.00180927],"category_scores_gemma":[0.001610192,0.0002323558,0.0003573159,0.0003907238,0.0004193773,0.0009305248,0.0006303492,0.0007750542,0.0002498144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007972984,"about_ca_system_score_gemma":0.0008055872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008198674,"about_ca_topic_score_gemma":0.006950303,"domain_scores_codex":[0.9997984,0.00004569253,0.00001044166,0.00005618311,0.00004548411,0.00004377498],"domain_scores_gemma":[0.9996313,0.0001716076,0.0000282236,0.00003619243,0.0001113416,0.00002138266],"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":[0.0001171135,0.0001383687,0.00100213,0.00003291166,0.00002081131,0.00004533798,0.00002841326,0.8732578,0.002631096,0.001146691,0.0008336609,0.1207457],"study_design_scores_gemma":[0.000002950244,0.00002026638,0.00009802738,0.000001292771,0.000002185505,0.000004042178,0.00000392114,0.9990344,0.000425096,0.0003282847,0.00007831382,0.000001188125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.146335,0.0005388629,0.8469291,0.0005081813,0.00008227432,0.00007398496,0.00006802125,0.0009631598,0.004501375],"genre_scores_gemma":[0.9296988,0.0001214887,0.06706827,0.0001589396,0.00002687786,0.00006254923,0.0001188099,0.00004799472,0.002696232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008198674,"threshold_uncertainty_score":0.01630193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184370893903549,"score_gpt":0.2663584594222603,"score_spread":0.2345147504832248,"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."}}