2019 International Conference on Advances in Materials, Mechanical and Manufacturing (AMMM 2019)
Notice bibliographique
Résumé
Preface We are very pleased to introduce the proceedings of the 2019 International Conference on Advances in Materials, Mechanical, and Manufacturing (AMMM 2019), it took place in Beijing, China from March 22-24, 2019. The Conference provided a setting for discussing recent developments in a wide variety of topics including Material Structure Design, Liquid Mechanics and Thermal Engineering, Mechanical Engineering and Advanced Manufacturing etc. The Conference has been an excellent opportunity for participants coming from many countries to present and discuss their topics in their respective research areas. A major conference theme was related to Material Structure Design and Performance Analysis; this session also included papers on, material properties measurement and mathematical predictions of inspection performance through modeling. A second session was devoted to the theme of Liquid Mechanics and Thermal Engineering; the third session was concerned with Intelligent Robot and Artificial Intelligence Technology, the Fourth session was involved with Mechatronics, after that the fifth session in Mechanical Engineering and Advanced Manufacturing, finally the Sixth session Industrial Machinery Design and Key Technologies. In the event, the conference was highly successful. The 50 presented papers maintained the high promise suggested by the written abstracts and the programme was chaired in a professional and efficient way by the session chairmen who were selected for their international standing in the subject. The delegates, was also highly gratifying, showing the high level of international interest in the matter. This is also indicated by a large number of countries, represented by the delegates. We would like to thank all participants for their contributions to the Conference program and for their contributions to these Proceedings. Many thanks go as well to the School of Mechanical Engineering and Automation, Beihang University, for their support, which allowed all foreign participants to feel more at home, and especially, the opening remark from the Dean gave a warm welcome to all the participants. Our special thanks go to our Conference Committees for their devoted assistance in the overall organization of the conference. It is our pleasant duty to acknowledge the support from the Beihang University, Beijing, China; technically support from National Sun Yat-sen University, Taiwan and the University of Alberta, Canada. We are looking forward to the next International Conference on Advances in Materials, Mechanical and Manufacturing. We hope that it will be interesting and enjoying at least as all of its predecessors. Conference Chair: Prof. Lang Lihui April 3, 2019
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,008 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,261 | 0,206 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».