{"id":"W4387436110","doi":"10.1007/978-3-031-39932-9","title":"Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing","year":2023,"lang":"en","type":"book","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indiana University Bloomington; University of California, Irvine; University of Illinois at Urbana-Champaign; Karl-Franzens-Universität Graz; National University of Sciences and Technology; Turun Yliopisto; Università degli Studi di Padova; Queen's University; Technische Universität Wien; Universität Wien; Technische Universiteit Eindhoven; Vysoké Učení Technické v Brně; Technische Universiteit Delft; Universiteit van Amsterdam; Washington State University; Keio University; Radboud Universiteit; National University of Singapore; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; York University; National Science Foundation; Politecnico di Torino; Queen's University Belfast; New York University Abu Dhabi; Drexel University; University of Notre Dame; Colorado State University; University of Pittsburgh; Technische Universitat Wien; Arizona State University; University of Wisconsin-Madison; Tamkeen; Eidgenössische Technische Hochschule Zürich; Technische Universität Dresden; University of Cyprus; George Mason University; Massachusetts Institute of Technology; Purdue University; Seoul National University; Yale University","keywords":"Cyber-physical system; Internet of Things; Computer science; Enhanced Data Rates for GSM Evolution; Edge computing; Artificial intelligence; Human–computer interaction; Embedded system; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001839485,0.0009028483,0.0005630101,0.000706103,0.0003260495,0.002001882,0.000920123,0.0007414515,0.0357192],"category_scores_gemma":[0.0008212959,0.0004312994,0.0005135023,0.001451186,0.0003988686,0.001993506,0.0007428723,0.002045839,0.0180024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004415988,"about_ca_system_score_gemma":0.0005171127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007050033,"about_ca_topic_score_gemma":0.001682896,"domain_scores_codex":[0.9997954,0.00001308507,0.000006394318,0.00002914708,0.0001443232,0.00001161939],"domain_scores_gemma":[0.9997286,0.0001497219,0.00001091801,0.00002887021,0.00005988582,0.00002198626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004643429,0.00007035743,0.0001605469,0.0007118091,0.00003981823,0.000116014,0.00008756133,0.008994722,0.005035446,0.07432741,0.3835053,0.5269047],"study_design_scores_gemma":[0.000008418039,0.00003494716,0.0004240612,0.000257314,0.00001221734,0.00034627,0.00002537278,0.0212031,0.001769986,0.04688481,0.9290102,0.00002326225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003883183,0.1724482,0.3932494,0.006050827,0.0128218,0.0002363878,0.001250479,0.005315374,0.4047443],"genre_scores_gemma":[0.01885208,0.07035752,0.1058251,0.001975631,0.00223505,0.0001818947,0.001328679,0.001170248,0.7980737],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0357192,"threshold_uncertainty_score":0.1194926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890191043316565,"score_gpt":0.2546728899275186,"score_spread":0.2357709794943529,"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."}}