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Preface

2024· article· en· W4401742261 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Physics Conference Series · 2024
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Preface This Proceedings presents the written contributions of the participants of 2024 3 rd International Conference on Aerospace, Aerodynamics and Mechatronics Engineering (AAME 2024) which took place from April 12 th to 14 th , 2024 in Nanjing, China, attended by more than 150 academicians, researchers, postgraduate students, and relevant personnel. The three-day scientific program of AAME 2024 consisted of keynote speeches, oral presentations, poster presentations and academic investigation with the participation of delegates from China, Canada, Denmark, England, India, Russia, Turkey, among others. The objectives of AAME 2024 were to bring together national and international researchers and practitioners in order to establish a forum of scientific cooperation with a global impact in the fields of aerospace, aerodynamics and mechatronics engineering; to promote the exchange of creative ideas and the effective transfer of scientific knowledge, from fundamental research to innovation applied to aerospace, aerodynamics and mechatronics engineering; and to advance in the development of new research by means of efficient transference of the knowledge between sectors academia and industry. Resources persons Prof. Kaining Wu (Harbin Institute of Technology, China), Prof. Mouquan Shen (Nanjing Tech University, China), Prof. Zhiyuan Zhu (Southwest University, China), as well as Prof. Changjun Chen (Suzhou University, China) have delivered expertise speeches and shared research experiences by imparting the latest findings from their respective research domains. It was a wonderful opportunity for the students, researchers, engineers and other participants interested in fields related to aerospace, aerodynamics and mechatronics engineering to interact with the experts and specialists to get their advice or suggestions. We are very optimistic that all participants have acquired new ideas and knowledge from this Conference to enhance the capability towards aerospace, aerodynamics and mechatronics engineering. The Proceedings of AAME 2024 consists of the papers that were presented as speeches, presentations and other contributions at the Conference or as publications in this paper volume, covering topics on Aircraft Navigation and Positioning Technology, Avionics Engineering, Communication Systems and Technologies, Mechatronics Systems, Analog and Digital Circuits, Electrical and Electronic Technology, etc. All papers published in this volume have been peer reviewed through rigorous processes administered by the Proceedings Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of Journal of Physics: Conference Series. We would like to thank the authors and speakers for their invaluable contribution and worthwhile ideas shared in the Conference. We would also extend our best gratitude to the members of reviewers for their kind assistance in reviewing the papers. Special acknowledgements go to the editors and staff of Journal of Physics: Conference Series for their efforts in making this volume published. The Committee of AAME 2024 List of Committee Member is available in this Pdf.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.218
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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