A5003047327- Sparse and Compressive Sensing Techniques
- Remote Sensing and Land Use
- Nonlinear Dynamics and Pattern Formation
- Image and Signal Denoising Methods
- Evacuation and Crowd Dynamics
- Remote-Sensing Image Classification
- Advanced Differential Equations and Dynamical Systems
- Medical Image Segmentation Techniques
- Cryospheric studies and observations
- Visual Attention and Saliency Detection
- Paleontology and Stratigraphy of Fossils
- Geochemistry and Geologic Mapping
- Advanced Data Compression Techniques
- Landslides and related hazards
- Digital Media and Visual Art
- Urban Stormwater Management Solutions
- Technology Adoption and User Behaviour
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Mathematical and Theoretical Epidemiology and Ecology Models
- Geochemistry and Elemental Analysis
- Geotechnical Engineering and Analysis
Minzu University of China
2025
China National Institute of Standardization
2024
Xiamen University of Technology
2023
Guangxi Normal University
2023
China University of Geosciences
2021
ABSTRACT A Filippov system of crop‐pest‐natural enemy with a Holling‐II type functional response function is developed based on the fear effect and threshold control strategy. The strategy mainly means controlling pests natural enemies. When number enemies below threshold, cannot achieve pest population needed to suppress outbreak. In this case, will affect pest's survival mode, thus affecting dynamic behavior. However, exceeds density, there no need system. At point, almost zero. behavior...
There are high concentrations of urban spaces and increasingly complex land use types. Providing an efficient scientific identification building types has become a major challenge in architectural planning. This study used optimized gradient-boosted decision tree algorithm to enhance model for classification. Through supervised classification learning, machine learning training was conducted using business-type weighted database. We innovatively established form database store input items....
Quantization is a promising method that reduces memory usage and computational intensity of Deep Neural Networks (DNNs), but it often leads to significant output error hinder model deployment. In this paper, we propose Bias Compensation (BC) minimize the error, thus realizing ultra-low-precision quantization without fine-tuning. Instead optimizing non-convex process as in most previous methods, proposed BC bypasses step directly quantizing by identifying bias vector for compensation. We have...
Swimming venues provide various services based on water as the carrier, but studies their use are few. This study constructed a stochastic model to quantify efficiency of indoor swimming under different scenarios Monte Carlo simulation. It explored impact shower behavior, pool replenishment rate, and appliance in venues. The results show that volume accounted for relatively high proportions stable, with total about 81 % use; could effectively demand pools scenarios. theoretical withdrawal...
Individual employee innovation is the cornerstone of an organization's innovation, and all innovative activities organization are inseparable from behavior employees. This paper retrieves literature on published in SSCI journals between 2013 2022, analyses compares overall number journal sources. Meanwhile, CiteSpace visualization software was used to visualize analyze keywords literature, discover current research hotspot focus development trend, synthesize hot topics research, propose...
Architecture is a representative of city. It also spatial carrier urban culture. Identifying the architectural features in city can help with transformation and promote development. The use visual saliency models regional texture recognition effectively enhance effectiveness recognition. In this paper, improved model first enhances images buildings through histogram enhancement technology, uses algorithms to extract buildings. Then, combined maximum interclass difference method threshold...