Notice bibliographique
Résumé
Abstract On the behalf of the organizing committee of the 2nd International Conference on Electronics, Electrical and Information Engineering (ICEEIE2022) held during August 12-15, 2022 in Changsha, Hunan, China. Due to the epidemic situation, there were travel restriction for every scholars who were linked with this event by using Zoom conference system, we enjoyed 3 keynote speeches and oral presentations made by the authors which lasted for 15 minutes each, a lot of inspiration sparked during the Q&A parts. The conference has provided a significant platform to encourage researchers, scholars, academician and practitioners to congregate for exchange of ideas and experiences from their work while identifying future directions of relevant areas. ICEEIE2022 promotes research and developmental activities in the field of Electronics, Electrical and Information Engineering. Researchers who have contributed their work to the conference shared their findings and experience with other researchers and attendee. Many attendees without any contribution of research paper have also been allowed to attend the conference to gain knowledge in their respective areas. With all contributions from the participants, 63 papers are final accepted from 140 submissions. Those accepted ones are well categorized into four sectors as follows:Communication engineering, Electrical engineering, Electronics, Information engineering. We wish to show our sincere appreciations to all individuals and organizations who have contributed to ICEEIE2022, especially those who did the review of all the submitted papers, dedicated their time and efforts in planning, promoting, organizing, and helping the conference. Also we must extend our thanks to our keynote speakers: Prof.Mohammad S. Obaidat from University of Sharjah, USA, who made speeches titled A New Learning Automata-Based Controller Placement Scheme for Software-Defined Network Systems, Prof. Witold Pedrycz from University of Alberta, Canada, who made speeches titled Developments in Federated Learning and Knowledge Transfer: Pursuits in Green and Granular Machine Learning, Prof. Claudio Cañizares from University of Waterloo, Canada, who made speeches titled Energy Storage Systems. We wish to show our special thanks to Hunan University of Finance and Economics, Hunan University of Technology, Hunan University of Arts and Science for support, they provided various platform to promote this conference with nice service. We are pretty sure that readers will benefit and get inspiration for their future work by using this volume, we will feel honorable to have your continuous attention and attendance for our next edition of ICEEIE. This project is funded by the scientific research project of Hunan Provincial Department of Education(21C1632). List of Committees are available in this pdf.
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 | 0,003 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,385 | 0,255 |
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 ».