A5054987132- Healthcare and Environmental Waste Management
- Multi-Criteria Decision Making
- Energy, Environment, Economic Growth
- Municipal Solid Waste Management
- Plant Growth Enhancement Techniques
- Energy Load and Power Forecasting
- Seedling growth and survival studies
- Polymer-Based Agricultural Enhancements
- Supply Chain Resilience and Risk Management
- Electric Power System Optimization
- Solar Radiation and Photovoltaics
- Climate Change Policy and Economics
- Environmental Impact and Sustainability
Fujian Normal University
2021-2023
In recent years, artificial intelligence methods have been widely applied to solve issues related renewable energy because of their ability nonlinear and complex data structures. this paper, we provide a comprehensive bibliometric analysis better understand the evolution Artificial Intelligence in Renewable Energy (AI&RE) research from 2006 2022. This study is performed based on Web Science Core Collection Database, dataset 469 publications retrieved. paper uses VOS viewer, CiteSpace,...
Purpose The aim of this paper is to present a comprehensive analysis risk management in East Asia from 1998 2021 by using bibliometric methods and tools explore research trends, hotspots, directions for future research. Design/methodology/approach data source the Web Science Core Collection, 7,154 publications related information have been derived. We use recognized indicators evaluate visually analyze them through scientific mapping (VOS Viewer CiteSpace). Findings results show that China...
Pinus massoniana is the pioneer tree species in red soil regions of southern China, however, serious understory erosion and nutrient deficiency that region are main factors restricting growth P. massoniana. This field study examined effects compound fertilizer super absorbent polymer (SAP) on physiology, characteristics, biomass, nutrient, plant content, uptake efficiency 1-year-old seedlings for 2 years at Changting, Fujian South China. One control (no fertilizer, CK) fertilization...
During the COVID-19 outbreak, use of single-use medical supplies increased significantly. It is essential to select suitable sites for establishing waste treatment stations. a big challenge solve station selection problem due some conflicting factors. This paper proposes multi-attribute decision-making (MADM) method based on partitioned Maclaurin symmetric mean (PMSM) operator. For problem, factors or attributes (these two terms can be interchanged.) in same clusters are closely related, and...
<abstract> <p>With the rapid increase in number of infected people COVID-19, medical supplies have been increasing significantly. Medical waste treatment scheme selection may long-term impacts on economy, society, and environment. Determining best option is a considerable challenge. To solve this problem, paper, we proposed multi-criteria group decision making (MCGDM) method based single-valued neutrosophic numbers partitioned Maclaurin symmetric mean (PMSM) operator. Because...