- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Remote-Sensing Image Classification
- Metaheuristic Optimization Algorithms Research
- Infrared Target Detection Methodologies
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Advanced Vision and Imaging
- Advanced Measurement and Detection Methods
- Fire Detection and Safety Systems
- Advanced Algorithms and Applications
- Higher Education Learning Practices
- Image and Object Detection Techniques
- Image Retrieval and Classification Techniques
- Cellular and Composite Structures
- Autonomous Vehicle Technology and Safety
- Image Enhancement Techniques
- Plant and animal studies
- Complex Network Analysis Techniques
- Industrial Vision Systems and Defect Detection
- Additive Manufacturing and 3D Printing Technologies
- Optical Systems and Laser Technology
- Engineering Education and Curriculum Development
- Video Analysis and Summarization
Huaibei Normal University
2014-2025
Zhejiang University
2000-2024
East China Normal University
2024
Beijing Institute of Technology
2024
Zhoukou Normal University
2024
Chinese Academy of Sciences
2015-2023
Shaanxi University of Science and Technology
2023
University of Chinese Academy of Sciences
2019-2023
Institute of Mechanics
2019-2023
Zhejiang Yuexiu University
2021
A snap-fitting method is introduced into fused deposition modeling (FDM) technique to fabricate BCC lattice structures of polylactic acid (PLA plus) with relative densities ranging from 2.1% 8.3%. This makes it possible deposit all the filaments along length direction strut. The measured peak strengths, compressive moduli and energy absorptions per unit volume snap-fitted FDM are improved by 37.6%–65.3%, 11.4%–39.6% 67%–270%, respectively, compared conventional integrated same density. Apart...
Nanostructure-enhanced biodetection is widely used for early diagnosis and treatment, which plays an essential role in improving the cure rates of cancer patients. ZnO nanostructure-based fluorescence immunoassay has been demonstrated to enable effective sensitive detection biomarkers their excellent biocompatibility, high electrical point, unique enhancement properties. Further optimization such technology still demand meet requirements highly sensitive, multiplex detection, user-friendly...
Lost circulation is a major challenge in the drilling process, which seriously restricts safety and efficiency of drilling. The traditional monitoring model hindered by presence noise complexity temporal fluctuations lost data, resulting suboptimal performance with regard to accuracy generalization ability, it not easy adapt needs different working conditions. To address these limitations, this study proposes multi-scale feature fusion based on wavelet transform TimeGAN. enhances features...
An improved teaching-learning-based optimization with combining of the social character PSO (TLBO-PSO), which is considering teacher’s behavior influence on students and mean grade class, proposed in paper to find global solutions function problems. In this method, teacher phase TLBO modified; new position individual determined by old position, best current generation. The method overcomes disadvantage that evolution original might stop when equals teacher. To decrease computation cost...
A novel 3D centrosymmetric lattice that exhibits a large twist angle during compression is proposed by tailoring the buckling mode of body-centered cubic and simple truss to first. The imperfections offset multimaterial systems are introduced control direction. Effects geometrical parameters material properties on behavior studied. Results suggest buckling-driven configuration can at an 100° average per unit axial strain 6.7°/%. configurations be used as force switches, safety devices,...
The paper is focused on improving the performance of neuro-endocrine models with considering interaction glands. Comparing to conventional models, concentration hormone one gland modulated by those others, and weights cells are improved endocrine system. interacted equation among all glands designed parameters them chosen theory analysis. Because model constants when system reaches equilibrium state, particle swarm optimization algorithm utilized search optimal model. analysis indicates that...
In conjunction with the swift enhancement of China’s economic prowess, demand for jewelry among populace is gradually evolving towards personalized, customized, and intricate designs. Traditional manufacturing approaches are increasingly inadequate to meet these demands. However, advent 3D printing technology presents a viable solution direct fabrication such sophisticated jewelry. To this end, conceptualization personalized inspiration initiated, followed by implementation parametric design...
Pedestrian detection plays a critical role in computer vision as it contributes to ensuring traffic safety. Existing methods that rely solely on RGB images suffer from performance degradation under low-light conditions due the lack of useful information. To address this issue, recent multispectral approaches have combined thermal provide complementary information and obtained enhanced performances. Nevertheless, few focus negative effects false positives (FPs) caused by noisy fused feature...
Objectives: Thoracoscopic mitral valve surgery via right thoracotomy has increasing impact in clinical routine. The best strategy of myocardial protection for these patients is discussion. Whereas warm blood cardioplegia Calafiore (group C) well established coronary the cold crystalloid Bretschneider (Custodiol, group B) choice procedures with long ischemia time.
Classifying the density of foggy images is an important step in further processing for images. In this paper, we propose a fog estimation algorithm from multifeature perspective. Based on analysis characteristics with different levels density, three features color, edge gradient and transmittance are adopted to construct feature-pool. During process feature constructing, type color space firstly determined via linear discriminant (LDA). Then histograms extracted form whole feature. Finally,...