{"id":"W4223625145","doi":"10.1016/j.engappai.2022.104854","title":"Heuristic-driven strategy for boosting aerial photography with multi-UAV-aided Internet-of-Things platforms","year":2022,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Gimbal; Drone; Particle swarm optimization; Artificial intelligence; Multi-objective optimization; Heuristic; Swarm behaviour; Real-time computing; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124478,0.0006276979,0.0007497861,0.0005081134,0.0003731067,0.0004842913,0.0007318499,0.0007437514,0.001933457],"category_scores_gemma":[0.0008618647,0.0002857004,0.0004457006,0.0003841983,0.0003490407,0.0004920805,0.0006673879,0.0003837916,0.0003074015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003691282,"about_ca_system_score_gemma":0.0006250642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002822801,"about_ca_topic_score_gemma":0.003621814,"domain_scores_codex":[0.999798,0.00003522946,0.000006509156,0.00003873084,0.00007480232,0.00004670833],"domain_scores_gemma":[0.9997054,0.0001166071,0.00004242653,0.00002385484,0.00008631265,0.00002538645],"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":[0.000158906,0.00009958974,0.000922611,0.0001074643,0.00005902624,0.0001891327,0.00008642017,0.8498954,0.02161727,0.006440436,0.002002962,0.1184209],"study_design_scores_gemma":[0.000007636604,0.00004716948,0.0002081991,0.000004253022,0.000008408664,0.00002879005,0.00001338743,0.9972639,0.001167252,0.0008611118,0.0003853595,0.000004524542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05583582,0.0003596043,0.9352453,0.0001633685,0.0001028936,0.00007286233,0.00003467123,0.0002718303,0.007913703],"genre_scores_gemma":[0.8848795,0.0001316687,0.1114833,0.0001007788,0.00004358717,0.0000833311,0.00006239622,0.00002796302,0.003187492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002822801,"threshold_uncertainty_score":0.006468058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479179887917138,"score_gpt":0.2453041906009559,"score_spread":0.2205123917217846,"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."}}