Artículo

Exploring low-carbon and sustainable urban transformation design using ChatGPT and artificial bee colony algorithm

Resumen

The aim of this study is to provide effective solutions to promote the transition of resource-based cities to low carbon and sustainable development. Firstly, this study investigates the background of low-carbon transformation of resource-based cities. Secondly, it introduces the application method of Chat Generative Pre-trained Transformer (ChatGPT) in detail. Finally, this study proposes a comprehensive application of ChatGPT and artificial bee colony (ABC) algorithm. The results show that the average energy utilization efficiency improvement index of the group using ChatGPT is 0.11. The average energy efficiency improvement index of the group using ABC algorithm is 0.02 higher than that of the control group. The integrated application of ChatGPT and ABC algorithm can further improve the low-carbon transformation effect of resource-based cities and achieve the goal of green development.
Autores
Vitali, FC; Pires, KM; Cardoso, IV; de Oliveira, EV; Bolan, M; Martins, PA; Cardoso, M
Título
Endodontic therapy in primary teeth: a bibliometric analysis of the 100 most-cited papers
Afiliaciones
Universidade Federal de Santa Catarina (UFSC); Universidade Federal de Minas Gerais
Año
2022
DOI
10.1590/1807-3107bor-2022.vol36.0049
Tipo de acceso abierto
gold
Referencia
WOS:000942129400050
Artículo obtenido de:
WOS
Fuente
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