Notice bibliographique
Résumé
We are pleased to provide you the proceedings of 2021 3rd International Conference on Resources and Environment Sciences (ICRES 2021). ICRES 2021 was held between June 5-7, 2021 in Kasetsart University, Bangkok, Thailand. Most countries still have travel restrictions due to COVID-19 pandemic around the world. The situation of COVID-19 pandemic is unpredictable and unstable. Most of countries are still fighting the COVID-19 pandemic, conference participants could not travel to attend the conference venue to do oral presentations. Therefore, ICRES 2021 was held online during June 5-7, 2021. The location of organizers is Building 38, No.1 Shilibao, Chaoyang District, Beijing, China. We used ZOOM application which made the virtual format conference come true. The conference was highlighted by four outstanding Keynote Speakers: Prof. Chi Yung Chung from University of Saskatchewan, Canada who presented a talk on “Advanced Prediction Techniques Applied to Smart Grids” Prof. Khaled M. Bali from University of California, Dvision of Agriculture and Natural Resources, USA who presented a talk on “Sustainability of Water Resources in California Under Scarcity” Prof. Kaimin Shih from the University of Hong Kong, China who presented a talk on “Persistent Perfluorochemical Pollutants in the Environment and Thermal Treatment Processes” Prof. Mohamed Benbouzid from University of Brest, France who presented a talk on “Tidal Stream Turbine Systems Resilient Control: The key to Improve Availability and Decrease Maintenance Costs”. Each oral presenter had about 12 Minutes of Presentation and 3 Minutes of Question and Answer. Conference was organized in 6 sessions with various topics: Green Technology and Sustainable Development, Waste Management and Recycling Utilization, Environmental Pollution and Control, Wastewater Treatment and Water Resources Management, Agro-Environmental Science and Geochemistry, Food Science and Agricultural Engineering. All accepted papers presented at the ICRES 2021 were included in this volume, which contained three chapters with topics: (1) Environmental Science and Sustainable Development (2) Resource Management and Waste Utilization (3) Geology and Geochemistry. All papers were subjected to peer-review by conference committee members and international reviewers. The papers were selected based on high quality and high relevancy to the conference scope. ICRES 2021 virtual conference provided an ideal platform for participants to share views and experiences in Resources and Environment Sciences and related areas. We would like to express our sincere gratitude to organizing committee and the volunteers who have dedicated their time and efforts in planning, promoting, and helping the conference. We hope that the readers would gain some valuable knowledge from this effort. We are expecting more and more experts and scholars from all over the world to join this international event next year. Prof. Khaled M. Bali, Statewide Irrigation Water Management Specialist University of California, Division of Agriculture and Natural Resources, USA July 19, 2021 Committees 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 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,006 | 0,006 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,559 | 0,428 |
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 ».