Notice bibliographique
Résumé
International Conference on Sustainable Practices in Engineering & Technology (IC-SPET’23) is the AICTE sponsored first international Conference organised by Department of Civil Engineering of Sree Buddha College of Engineering, Pattoor, from 14th to 16th June, 2023 with a focal theme on Sustainability in Civil Engineering. The sub themes were Structural Engineering & Sustainable Construction Technology, Water Resource & Environmental Engineering, & Transportation Engineering, Modelling & Computational Techniques in Civil Engineering and GIS application in Civil Engineering. The conference is planned and organized with an objective of providing a platform and conducive environment for the participants to share innovations in Engineering and Technology and to form international relationships among the researchers involved in Engineering and Technology. The three-day international conference was conducted from 14th June, 2023 to 16th June, 2023 in hybrid mode. The conference was inaugurated by the chief guest Dr. N.P. Rajamane, Professor, Scientist, Founder & Former Head (a) Centre for Advanced Concrete Research (CACR), SRM IST (b) Advanced Materials Lab (AML), CSIR-SERC. Renowned national and international speakers such as Dr. N. P. Rajamane (Scientist, Founder & Former Head - (a)CACR, SRM IST (b) AML, CSIR-SERC), Dr. Kamal Laksiri (Governor, Region 10, ASCE), Dr. Sumi Siddiqua (Associate Professor, The University of British Columbia, Canada), Dr. Tanmay Basak (Professor, Indian Institute of Technology Madras) and Dr. Vinu Unnikrishnan (Assistant Professor, College of Engineering, West Texas, USA) has delivered keynote address on sustainable practices in diverse fields of engineering. To IC-SPET’23, 103 technical papers from various institutions within and outside the state were submitted, out of which 65 papers accepted for presentation. And 17 papers were selected to include in this proceeding of conference through meticulous review process performed by experts in the field. We would like to greatly acknowledge the active contribution of keynote speakers, session chairs, reviewers, authors and participants towards the success of the conference. We express our indebted gratitude to Prof. K. Sasikumar, Hon'ble Chairman of the Sree Buddha Group of Institutions, Prof. V. Prasad (Secretary) and Sri. A. Sunil Kumar (Treasurer) of the Sree Buddha Educational Society, Dr. K. Krishnakumar, the Principal of Sree Buddha College of Engineering and all members of Sree Buddha Educational Society for their invaluable guidance and support for the successful coordination of the event. We appreciate the efforts of the faculty members, staff, and student volunteers of the Department of Civil Engineering, who worked as a team and shared responsibilities for the successful coordination. We would like to acknowledge the financial assistance received from AICTE (All India Council for Technical Education) for organizing the conference. We express our sincere gratitude to all the associating organisations and institutions such as ASCE, IEI Kollam local center, ICI Kochi center, Habilete learning solutions, Indian Institute of Infrastructure and Construction, Qcrete and T. R. Associates for their timely assistance. Finally, we express our sincere thanks to the team of IOP Conference series lead by Cat Leyland and Rachelle Morris for bringing out this proceedings.
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 | 0,001 | 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 | 0,007 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,603 | 0,443 |
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 ».