Resilience Evaluation of the Forest Products Platform Supply Chain Based on Artificial Intelligence and Extension Theory DOI Open Access
Lin Lu, Ping Long, Xiaochun Luo

и другие.

Forests, Год журнала: 2024, Номер 15(12), С. 2180 - 2180

Опубликована: Дек. 11, 2024

Forestry has a profound impact on environmental protection, economic development, and social welfare. With the improvement of global protection awareness, construction platform supply chain forest products become core driving force to promote sustainable development forestry. Studying resilience is great importance solve contradiction between natural ecosystem protection. However, existing evaluation methods are not suitable for dynamic complex performance current chain. Therefore, in order make up this shortcoming, paper evaluates analyzes based AI recommendation extension theory. Firstly, combined characteristics used technology build index system. Secondly, AHP method was calculate weight, model constructed. Finally, ensure authenticity credibility results, three practical cases were analyzed illustrate level products, effectiveness application theory chains verified. The scientific value that it provides new idea makes theoretical contributions fruitful field. In addition, study also guideline protecting environment realizing

Язык: Английский

Study on performance of brine spray concentration/air condensation system coupled with air source heat pump DOI Creative Commons

Liansheng Liu,

Rongji Li,

Xuanchen Liu

и другие.

Desalination and Water Treatment, Год журнала: 2025, Номер unknown, С. 101228 - 101228

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Optimizing Solar-Powered Multi-Generation Systems for Sustainable Energy Management in University Buildings Using Neural Networks and Genetic Algorithms DOI Creative Commons
Ehsanolah Assareh, Nima Izadyar, Elmira Jamei

и другие.

Journal of Building Engineering, Год журнала: 2025, Номер unknown, С. 112939 - 112939

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Harnessing artificial intelligence for sustainable environmental remediation a review DOI
Srinivasan Balakumar, Mahesh Narayanan, M. Kamaraj

и другие.

International Journal of Environmental Science and Technology, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Язык: Английский

Процитировано

0

Resilience Evaluation of the Forest Products Platform Supply Chain Based on Artificial Intelligence and Extension Theory DOI Open Access
Lin Lu, Ping Long, Xiaochun Luo

и другие.

Forests, Год журнала: 2024, Номер 15(12), С. 2180 - 2180

Опубликована: Дек. 11, 2024

Forestry has a profound impact on environmental protection, economic development, and social welfare. With the improvement of global protection awareness, construction platform supply chain forest products become core driving force to promote sustainable development forestry. Studying resilience is great importance solve contradiction between natural ecosystem protection. However, existing evaluation methods are not suitable for dynamic complex performance current chain. Therefore, in order make up this shortcoming, paper evaluates analyzes based AI recommendation extension theory. Firstly, combined characteristics used technology build index system. Secondly, AHP method was calculate weight, model constructed. Finally, ensure authenticity credibility results, three practical cases were analyzed illustrate level products, effectiveness application theory chains verified. The scientific value that it provides new idea makes theoretical contributions fruitful field. In addition, study also guideline protecting environment realizing

Язык: Английский

Процитировано

0