Notice bibliographique
Résumé
The research and application of efficient clean energy is the most important energy saving and emission reduction measure in China at the present stage, and the technological progress of clean energy power generation has also attracted the attention of experts and scholars all over the world. Therefore, the 2022 7th International Conference on Clean Energy and Power Generation Technology (CEPGT 2022) was successfully held during December 9th-11th, 2022 in Zhenjiang, China (virtual form), providing a shared platform for the international academic and engineering community. The International Conference on Clean Energy and Power Generation Technology is an international academic conference. Everyone interested in the fields related to Clean Energy and Power Generation Technology were welcomed to join the online conference and give comments and raise questions to the speeches and presentations. The online conference consisted of Keynote Speeches, Oral Presentations, and Academic Investigation, attracting about 50 individuals from all over the world. We have invited six sophisticated professors from different countries and regions to perform keynote speeches. Among them, Prof. Marc A. Rosen from Ontario Tech University, Canada delivered a wonderful keynote speech on Hydrogen Energy Systems: A Pathway to Sustainable Energy and Sustainable Development. Through hydrogen energy systems, the energy carrier hydrogen is a key facilitator of sustainable energy and can contribute significantly to attaining sustainability and sustainable development. As easily accessible fossil fuel supplies become increasingly scarce and environmental concerns escalate, hydrogen energy is likely to become increasingly important. With the world’s energy sources becoming less fossil fuel-based, hydrogen and electricity are expected to be the two dominant energy carriers for the provision of end-use services in a hydrogen economy. In this presentation, the role of hydrogen as an energy carrier and facilitator of sustainable energy was described and illustrated, and hydrogen energy systems that can contribute to a sustainable world were reviewed and discussed. All keynote speakers made brilliant speeches and shared unique professional experience and insights, triggering heated discussion in the conference. CEPGT 2022 received a great many submissions in the areas related to clean energy and power generation technology. Each submission was reviewed by at least two expert reviewers and the committee picked out some excellent papers that are included in the proceedings, covering but not limited to the following topics: Hydrogen and Fuel Cell, Green Energy Technology, Renewable Energy, Hydroelectric Power Generation, etc. On behalf of the Conference Organizing Committee, we would like to thank the Technical Program Committee members and external reviewers for their hard work in reviewing and selecting papers. And we would like to acknowledge all of those who supported CEPGT 2022. Particularly, our special thanks go to the editors and other members Journal of Physics: Conference Series. We deeply appreciate their efforts in making the conference successful. The Committee of CEPGT 2022 List of Committee member is available in the 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 | 0,002 | 0,011 |
| 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 | 0,003 | 0,001 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,542 | 0,383 |
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 ».