A5039470855- Diverse Aspects of Tourism Research
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Capital Investment and Risk Analysis
- Face and Expression Recognition
- Domain Adaptation and Few-Shot Learning
- Generative Adversarial Networks and Image Synthesis
- Asian Culture and Media Studies
- Energy Efficient Wireless Sensor Networks
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Cruise Tourism Development and Management
- Climate Change Policy and Economics
- Advanced Control Systems Optimization
- Image Retrieval and Classification Techniques
- IoT-based Smart Home Systems
- Reservoir Engineering and Simulation Methods
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Advanced Computational Techniques and Applications
- Religious Tourism and Spaces
- Polymer-Based Agricultural Enhancements
- Advanced Image Processing Techniques
- Global Energy and Sustainability Research
- Tourism, Volunteerism, and Development
Guilin University of Technology
2023-2025
Guangxi Academy of Special Crops
2025
Hunan University of Science and Engineering
2008-2024
Jiangmen Central Hospital
2024
Shenyang Aerospace University
2024
Chinese Academy of Sciences
2023
Hunan University
2022
Alibaba Group (China)
2021-2022
Shanxi University of Finance and Economics
2022
Beijing University of Posts and Telecommunications
2009-2021
Red tourism is a way of with Chinese characteristics, carrying tourists' fresh emotions and value pursuit, an important part the construction well-being. Based on stimulus-organic-response (SOR) theory taking emotion national identity as mediating factors, this study researched mechanism well-being in red by constructing structural equation model experience (a) has significant positive impact (positive negative emotion), also have identity; (b) Positive effects well-being; (c) Tourists' play...
In this work, we construct the largest dataset for multimodal pretraining in Chinese, which consists of over 1.9TB images and 292GB texts that cover a wide range domains. We propose cross-modal method called M6, referring to Multi-Modality Multitask Mega-transformer, unified on data single modality multiple modalities. scale model size up 10 billion 100 parameters, build pretrained Chinese. apply series downstream applications, demonstrate its outstanding performance comparison with strong...
Face recognition methods, which usually represent face images using holistic or local facial features, rely heavily on alignment. Their performances also suffer a severe degradation under variations in expressions poses, especially when there is one gallery per subject only. With the easy access to high-resolution (HR) nowadays, some HR databases have recently been developed. However, few studies tackled use of information for verification. In this paper, we propose pose-invariant...
Severe Mycoplasma pneumoniae pneumonia (SMPP) poses significant diagnostic challenges due to its clinical features overlapping with those of other common respiratory diseases. This study aims develop and validate machine learning (ML) models for the early identification SMPP risk prediction liver heart damage in using accessible laboratory indicators. Cohort 1 was divided into group diseases group. 2 myocardial damage, non-damage groups. The built five ML algorithms were compared screen best...
Nowadays, due to advantages of maneuverability, portability and low cost, the mini quadrotor unmanned aerial vehicle (UAV) catches much attention. In some special applications such as narrow space search, stealth detection cooperative in huge region, UAV is more suitable than a big one. However, light weight size lead phenomenon that it hard for use complex control method. Besides, performance wind resistant significant practicability. this paper, under-actuated dynamics, strong nonlinear...
Community residents’ support is one of the key factors affecting development tourist destinations. A clear understanding influencing and internal transmission mechanisms in community for tourism can lend to a theoretical basis reference management departments formulate relevant policies. It therefore conducive rapid recovery sustainable amidst intermittent outbreaks COVID-19 pandemic. Taking Guilin as site case study, this study examined effect local perceptions risks due pandemic, benefits...
The deterioration of the living environment caused by earthquake is main migration motivation residents in area secondary disaster, and their intention one most important factors affecting residents' happiness. This paper uses 957 effective survey samples from 12 geological disaster areas after Wenchuan to research its influencing factors. It can be found that 45.2% are willing migrate, which means they have an instinctive reaction profit-seeking harm-avoiding, but it has not become a...
The malodor attached to textiles not only causes indoor environmental pollution but also endangers people's health even at low concentrations. Existing technologies cannot effectively eliminate the odor. Herein, an effective and environmentally friendly technology was proposed address this challenging issue. This utilizes electrospraying process produce Engineered Water Nanostructures (EWNS) in a controllable manner. Upon application of high voltage Taylor cone, EWNS can be generated from...
With the popularization of air conditioning system (A/C) in reality, A/C control problems are focused on. This article presents a survey different automatic techniques that have been applied systems. Characteristics systems described and variables should be controlled discussed. A classification approaches is used to explain main features these strategies clearly shows that, with improvement people's living standard emergence worldwide environmental energy problems, there increasing...
Abstract Tourism livelihood has become an essential decision for people to get rid of poverty. Under the background internet era, it is great significance study how ethnic village farm households can participate in tourism with help information capacity. Applying Resource Orchestration Theory and taking Guolan Yao Village Jiangyong County Hunan Province as example, this paper uses binary logistic regression model fuzzy set qualitative comparative analysis method explore mechanism households’...
Remote sensing image dehazing (RSID) aims to remove nonuniform and physically irregular haze factors for high-quality restoration. The emergence of CNNs Transformers has taken extraordinary strides in the RSID arena. However, these methods often struggle demonstrate balance adequate long-range dependency modeling maintaining computational efficiency. To this end, we propose first lightweight network on mamba-based model called RSDhamba field RSID. Greatly inspired by recent rise Selective...
The purpose of this study is to develop and test a real-time monitoring controlling system for grain storage. Because ZigBee/IEEE802.15.4 indicates network which highly reliable, cost-effective, low power consumption, programmable fast establishing, we use ZigBee technology into industry research applications. developed in application includes host computer data management control based on LabWindows/CVI, sensor network. In addition describing the architecture, hardware software, paper also...
The energy-efficiency usage is relative to each layer of wireless sensor networks. In order improve the ZigBee mesh routing protocol for usage, we propose a algorithm combining AODVjr with node residual energy. To reduce energy consumption bottleneck nodes and extend network lifetime, improved aims build new balancing method between energy-aware metric shortest path. Based on model CC2430 RF transceiver, implemented simulated using NS2 (Network Simulator version 2). Simulation result shows...
In this paper, we focus on unsupervised learning for Video Object Segmentation (VOS) which learns visual correspondence (i.e., the similarity between pixel-level features) from unlabeled videos. Previous methods are mainly based contrastive paradigm, optimize either in image level or pixel level. Image-level optimization (e.g., spatially pooled feature of ResNet) robust high-level semantics but is sub-optimal since features optimized implicitly. By contrast, more explicit, however, it...
The mechanism of spiritual transformation in red tourism plays a key role facilitating the inheritance culture. A survey 385 tourists Chinese nationality was conducted to explore path tourism's influence on tourists' transformation. Based stimulus-organism-response theory, this paper explores environmental perceptions activities as special external stimuli, introduces positive emotion factor, and constructs model for emotions based educational function cultural identity, which ultimately...
This article presents a real option model for helping investors to determine the optimal investment timing and scale of overseas oil projects. The is suitable highly uncertain environments in which many companies operate, where they have suspend upstream investment, stop new oilfield construction, wait proper prices order avoid losses. Considering uncertainty exchange rates, results analytical solutions presented this paper show critical price that can be seen as threshold triggering...