Notice bibliographique
Résumé
International Conference on Environment, Earth Science and Sustainability (ICES) Proceedings of International Conference on Environment, Earth Science and Sustainability (ICES 2022) Following six successful events of the Annual Workshop, the 7th Annual IIES Science and Policy Workshop was jointly organized with the International Conference on Environment, Earth Science and Sustainability (ICES) from 24 Oct to 28 Oct 2022 in Ho Chi Minh City, Vietnam. The ICES 2022 - a multidisciplinary conference - initiated under the auspices of Ho Chi Minh City University of Technology (HCMUT), Trent University (Canada) and the IIES Network, and was taken place in the occasion of the 65th anniversary of HCMUT. This year, the ICES Conference with the theme of “Integrated Multidisciplinary Sciences towards Sustainable Development” was held in Ho Chi Minh City (24 - 26 Oct 2022) and Phu Quoc, Vietnam (27 - 28 Oct 2022). The Conference was successfully organized by a synergy of the consortium of Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City University of Technology, International Institute for Environmental Studies, Trent University, Nan Jing University, Kunsan National University (KSNU), Dalhousie University, and Institute for Circular Economy Development - VNU-HCM. The ICES 2022 covers five main topics of (i) Civil Engineering, (ii) Environmental Sciences and Management, (iii) Environmental Engineering and Technologies, (iv) Earth Sciences/Natural Resources, and (v) Circular Economy/Sustainability. Participants gained insights into current research in civil engineering, earth and environmental science, policy and planning, and attained a worthy opportunity to meet colleagues from several institutions, universities, and agencies. For students, this is a chance to share their research outcomes and to build-up potential collaborative relationships at an international level. The Conference drew substantial attention from leading scientists, managers, lecturers, and merit students from universities, institutes, and research centers as well as officials from relevant government departments, agencies, companies, and enterprises. Overall, the Conference has attracted more than 216 papers from scientists, researchers, government managers, and graduate students. Among them, 79 high-quality papers were recommended to submit for peer-reviewing. Then, the double-blind review process was carried out for the 67 papers, in which each paper has been reviewed for its merit and novelty by at least two reviewers and one editor by matching the content areas. As a result, a total of 37 papers have been finally selected for this proceedings book. We believe that this proceedings book provides a broad overview of recent advanced studies in the fields of Civil Engineering, Material, Circular Economy, Environment, Resources and Earth Sciences for readers. Most importantly, we would like to express our sincere thanks to (i) Division of Science and Technology – Vietnam National University Ho Chi Minh City (Prof. Lam Quang Vinh); (ii) Rector of HCMUT (Prof. Mai Thanh Phong) for their help and other supports. We would like to thank all the reviewers for their timely and rigorous reviews of the papers and all authors for their interests in the ICES 2022. List of Editors are 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 | 0,006 |
| 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 | 0,006 | 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) | 0,610 | 0,452 |
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 ».