A5036176166- Digital Marketing and Social Media
- Technology Adoption and User Behaviour
- Customer Service Quality and Loyalty
- Geoscience and Mining Technology
- Geomechanics and Mining Engineering
- Advanced Computational Techniques and Applications
- Advanced Image Processing Techniques
- Dental Radiography and Imaging
- Data Mining Algorithms and Applications
- Big Data and Business Intelligence
- Advanced Sensor and Control Systems
- Coal Properties and Utilization
- Advanced Algorithms and Applications
- Image and Signal Denoising Methods
- Rough Sets and Fuzzy Logic
- Advanced Vision and Imaging
- Customer churn and segmentation
- Infrared Target Detection Methodologies
- Service-Oriented Architecture and Web Services
- Soil Carbon and Nitrogen Dynamics
- dental development and anomalies
- Endodontics and Root Canal Treatments
- Wastewater Treatment and Nitrogen Removal
- Image Processing Techniques and Applications
- Information Technology Governance and Strategy
West China Hospital of Sichuan University
2025
Sichuan University
2008-2024
Jiangsu University
2023-2024
State Key Laboratory of Oral Diseases
2021-2024
Wuhan University of Technology
2012-2022
Soil and Fertilizer Institute of Hunan Province
2022
Hunan Agricultural University
2021-2022
Stomatology Hospital
2021
The University of Adelaide
2021
State Intellectual Property Office
2020
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper aims to propose visual recognition algorithm based upon fusion of static and dynamic body biometrics.For each sequence involving walking figure, pose changes the segmented moving silhouettes are represented as an associated complex vector configurations, then analyzed using Procrustes shape analysis method obtain compact appearance representation, called information body.Also,...
Traditional radiography is limited in its ability to give reliable information on the number and morphology of root canals. The application cone-beam computed tomography (CBCT) provides a non-invasive three-dimensional confirmatory diagnosis as complement conventional radiography. aim this study was evaluate canal mandibular premolars western Chinese population using CBCT scanning.The sample included 149 images comprising 178 first second premolars. tooth position, roots canals,...
The method to estimate joint motion quickly and accurately from surface electromyogram (sEMG) has been explored by many researchers. However, the effect of different grabbing loads is ignored most them, which limits its clinical daily applicability. In order eliminate this in course estimation, an Adaboost-AF based on Adaboost regression was proposed identify load information intention. This composed three parts: sEMG preprocessing part, identification intention estimation part. average...
Purpose The purpose of this paper was to explore the comparative influential factors affecting behavioral intention and actual usage mHealth services in two distinct national environments, i.e. China Bangladesh, relation international expansion services. Design/methodology/approach In study, widely accepted Unified Theory Acceptance Use Technology (UTAUT) with additional variables, Perceived Reliability Price Value have been selected as a theoretical framework. Primary data were collected...
Purpose The purpose of this paper is to examine a proposed model location-based advertising (LBA) effectiveness upon the influence integrative perceived values on consumers' attitude and behavioral responses in immaturity LBA Vietnam. Design/methodology/approach A survey research method was utilized collect data from mobile users. real sample 459 respondents deemed Structural Equation Modeling (SEM) applied analyze data. Findings results unveil that contextual offers, social facilitation,...
Abstract Fault diagnosis of rolling bearings is among the most crucial links in prognostic and health management bearings. To solve problem single-source domain transfer learning that cannot adapt well to target domain, a method based on multi-source fast adversarial network (MSDFAN) proposed. First, signals from all domains are input into common subnetwork neural networks reduce complexity running time networks. Secondly, several constructed as specific feature extractors then use...
With the rising popularity of intelligent mobile devices, it is great practical significance to develop accurate, real-time and energy-efficient image Super-Resolution (SR) methods. A prevailing method for improving inference efficiency model quantization, which allows replacing expensive floating-point operations with efficient bitwise arithmetic. To date, still challenging quantized SR frameworks deliver a feasible accuracy-efficiency trade-off. Here, we propose Fully Quantized framework...
The proliferation of the information technology, smart phones, and mobile technologies has encouraged potential customers to use more banking services. Accordingly, banks are offering m-banking services than competitor do. adoption is depend on characteristics countries people (culture) perception (trust) existing customer. In regards to, we proposed a new model that integrated three models, tUTAUT2 with ITM (propensity trust, structural assurance, firm's reputation) Hofstede six cultural...
We advocate that innovation carriers proactively grow their own intellectual property, including venture capital investment funds, local governments, industrial clusters, science and technology parks, peculiarly to China, the High-speed Rail sector. believe timing is right for this novel approach because China's economy fast becoming world's largest by some measure, increasingly puts IP at core, which bridges value. Via a string of 2019 events initiatives in public was made much aware fact...
Data hiding is the procedure of encoding desired information into a certain types cover media (e.g. images) to resist potential noises for data recovery, while ensuring embedded image has few perceptual perturbations. Recently, with tremendous successes gained by deep neural networks in various fields, research on learning models attracted an increasing amount attentions. In models, maximize capacity, each pixel ought be treated differently since they have different sensitivities w.r.t....