A5033033599- Energy, Environment, Economic Growth
- Environmental Impact and Sustainability
- Climate Change Policy and Economics
- Electric Power System Optimization
- Integrated Energy Systems Optimization
- Web Data Mining and Analysis
- Petri Nets in System Modeling
- Carbon Dioxide Capture Technologies
- Energy Harvesting in Wireless Networks
- Vehicle emissions and performance
- Air Quality and Health Impacts
- Water-Energy-Food Nexus Studies
- Business Process Modeling and Analysis
- Manufacturing Process and Optimization
- Smart Grid Energy Management
- Topic Modeling
- AI and Multimedia in Education
- Natural Language Processing Techniques
- Water resources management and optimization
- Antenna Design and Analysis
- Educational Technology and Assessment
- Educational Technology and Pedagogy
- Energy, Environment, and Transportation Policies
Hubei University of Technology
2024
Wuhan University
2008-2023
Zhongnan University of Economics and Law
2019-2022
Jiangxi Science and Technology Normal University
2020
Abstract The low‐carbon transition involves achieving the coordinated development between economic and carbon reduction. This paper utilises an integrated decomposition econometric framework to reveal influence mechanism convergence evolution of emission intensity (CEI) across 29 OECD countries in period 1992–2018. country‐level efforts are then investigated. results imply that: (1) reduction CEI is primarily attributed changes energy intensity. coefficient effect also negatively influences...
Sequence labeling tasks, such as named entity recognition and part of speech tagging, are the fundamental compositions information extraction system, thus received attentions these years. This paper proposes k-similar conditional random fields for semi-supervised sequence labeling, makes use unlabeled data to calculate similarity between words with distributional clustering. The experiments show that this method can improve performance through data.
The related education resources may be merged into the courseware in intelligent tutoring system (ITS). However, for different teaching style resources, it is often difficult that suitable resource selected to merge courseware. In order ensure coherence of among after merged, this paper researches some factors influencing coureseware. On basis, provides similarity degree evaluation algorithm which selects base. method uses weighted measure approximate distance between selecting and...
Abstract Emission of air pollutants from the power generation industry is a major cause for severe pollution prevention in China. Identifying important driving factors pollutant emissions generation, and evaluating importance these are great significance to formulate policies. Based on classic STIRPAT model, this paper expands indexes relevant economic, social technical factors, creatively takes input environmental protection facilities as an factor evaluate contribution two typical (SO2...
In order to improve the digital information feature compression ability of multi-domain convolutional neural network. The formula coding model network is constructed, in process combined with randomness weighted trust vector, fusion data analysis established, and result obtained by deep algorithm for reconstruction. quantity established. Under control cyclic shift key optimization, recombination differential evolution clustering fusion, realized. Simulation results show that output stability...