- Multi-Criteria Decision Making
- Fuzzy Logic and Control Systems
- Fuzzy Systems and Optimization
- Job Satisfaction and Organizational Behavior
- Image and Signal Denoising Methods
- Optimization and Mathematical Programming
- Rough Sets and Fuzzy Logic
- Remote-Sensing Image Classification
- Animal Behavior and Welfare Studies
- Advanced Image Fusion Techniques
- China's Ethnic Minorities and Relations
- Workplace Spirituality and Leadership
- Evaluation and Optimization Models
- Teacher Professional Development and Motivation
- Multilingual Education and Policy
- Effects of Environmental Stressors on Livestock
- Emotional Intelligence and Performance
- Advanced Image Processing Techniques
- Religion, Spirituality, and Psychology
- Image and Video Quality Assessment
- Food Supply Chain Traceability
Zhaoqing University
2016-2024
Tianjin Agricultural University
2024
Guangxi Normal University
2023-2024
Beijing University of Technology
2023
Nanjing University of Information Science and Technology
2021
Abstract The cultivation of innovation ability among preservice teachers is crucial for the modernization Chinese education, and neglect nonintellectual factors constitutes a key determinant inadequate training outcomes. Based on self-determination theory, this study constructs theoretical model with meaning in life as independent variable, innovative behavior dependent career calling learning engagement mediating variables to explore ways stimulate behavior. We used four scales life,...
Within the current process of large-scale dairy-cattle breeding, to address problems low recognition-accuracy and significant recognition-error associated with existing visual methods, we propose a method for recognizing feeding behavior dairy cows, one based on an improved RefineMask instance-segmentation model, using high-quality detection segmentation results realize recognition cows. Firstly, input features are better extracted by incorporating convolutional block attention module into...
This paper unifies the classical intuitionistic fuzzy additive and multiplicative operations proposes a generalized operation interval-valued operation. In particular, it was proved that on sets (IFSs) are two special cases of newly proposed operation, while IFSs (IVIFSs) one. has three innovation points. First, introduces kinds "intuitionistic preference factors," which key parameters operations. Second, aggregating operator based an factor mean value theorem for integrals. Third, novel...
In the field of early childhood education, research has increasingly paid attention to male kindergarten teachers as subjects. The shortage professionals in this field, coupled with persistent issue high turnover rates, presents significant challenges preschool education sector. Elevating retention rate stands a vital concern, occupational commitment emerging pivotal factor influencing retention. This study endeavors construct moderated mediation model unveil potential pathways through which...
Pansharpening aims to fuse the abundant spectral information of multispectral (MS) images and spatial details panchromatic (PAN) images, yielding a high-spatial-resolution MS (HRMS) image. Traditional methods only focus on linear model, ignoring fact that degradation process is nonlinear inverse problem. Due convolutional neural networks (CNNs) having an extraordinary effect in overcoming shortcomings traditional models, they have been adapted for pansharpening past few years. However, most...
Equipment support capability is a permanent problem at equipment realm. Grading the enables better scheme. This paper applies theories and methods of fuzzy mathematics comprehensive evaluation. Based on inference, its perform evaluations that are both qualitative quantitative contain exact inexact factors. The determines indexes grade according to maximum degree, assigns their weight using Analytic Hierarchy Process (AHP), thus quantify problems. solution improves technology reliability...