- Evolutionary Game Theory and Cooperation
- Evolution and Genetic Dynamics
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced machining processes and optimization
- Surface Treatment and Residual Stress
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Advanced Surface Polishing Techniques
- Experimental Behavioral Economics Studies
- Advanced Drug Delivery Systems
- Video Surveillance and Tracking Methods
- Advanced Memory and Neural Computing
- Extremum Seeking Control Systems
- Scheduling and Optimization Algorithms
- Visual Attention and Saliency Detection
- Erosion and Abrasive Machining
- Education and Work Dynamics
- Optical Coherence Tomography Applications
- Advanced Queuing Theory Analysis
- Additive Manufacturing Materials and Processes
- Opinion Dynamics and Social Influence
- Combustion and flame dynamics
- Machine Learning and ELM
- Evolutionary Algorithms and Applications
- Adaptive Dynamic Programming Control
East China Normal University
2025
Wenzhou Polytechnic
2008-2024
Northwestern Polytechnical University
2017-2023
McMaster University
2023
Simon Fraser University
2023
Ocean University of China
2022
Oral drug delivery is considered the most preferred mode of treatment because its high patient compliance and minimal invasiveness. However, oral protein has been a difficult problem which restricts application due to unstable inefficient penetration in gastrointestinal tract. In this study, novel OCMC/SA nanohydrogel was prepared by using O-carboxymethyl chitosan (OCMC) sodium alginate (SA) solve problem. The had typical nanostructure, helpful increase specific surface area enhanced...
The design of single-atom catalysts with dual functions has emerged as a promising strategy for developing high-performance sensing platforms. Herein, we reported facile host-guest synthesizing an atomically dispersed Co catalyst (Co-N-C), where atoms were uniformly anchored on the N-doped carbon matrix derived from zeolitic imidazolate framework-8. as-prepared Co-N-C exhibits both excellent electrochemical and peroxidase-like colorimetric activities toward detection three important...
Abstract The filament‐wound egg‐shaped structure offers significant performance improvements and structural advantages for deep‐sea submersibles, including enhanced pressure resistance, optimized space utilization, improved hydrodynamic performance. However, the residual stresses generated by curing process are an unavoidable key issue in filament winding. This study aims to investigate thermal its resultant distortions on pressure‐resistant shells under different parameters. First, wound...
Target segmentation of remote sensing images has always been a hotspot in image processing. This paper proposes new semantic technology for images, which uses Unet as the backbone and combines attention mechanism feature enhancement module. The module can enlarge information region interest (ROI) to improve contrast image; includes spatial channel modules, obtain more detailed desired target while suppressing other useless information. improves loss function traditional Unet. On basis sparse...
In this work, the purpose of study was to explore influence laser shock peening (LSP) on mechanical behavior and microstructural response 40CrMo steel. The residual stress at depth direction evolution steel specimens without with LSP treatments were tested by tester transmission electron microscopy (TEM). microhardness tensile properties room temperature measured. Moreover, effects ability resist wear analyzed, worn morphologies characteristics observed scanning microscope (SEM). results...
Abstract In a re-entrant production system, the throughput of whole system depends on capacity bottleneck machine. this study, new definition is proposed for precision forging blade shop. The reinforcement learning algorithm used to optimize scheduling determine most suitable scheme, which lays foundation identification. Subsequently, identification index was established according optimization objective, and problem transformed into multi-attribute decision-making problem. Finally, fuzzy...
Thyroid nodule is a clinical disorder with high incidence rate, large number of cases being detected every year globally. Early analysis benign or malignant thyroid using ultrasound imaging great importance in the diagnosis cancer. Although b ‐mode can be used to find presence thyroid, there no existing method for an accurate and automatic image. In this pursuit, present study envisaged development efficient identification nodules, based on transfer learning deep convolutional neural...
Electroencephalography (EEG) is a technique that measures brain activity across the surface using electrodes attached to scalp. The advantages of EEG include its noninvasiveness and cost-effectiveness compared alternatives, like magnetic resonance imaging electrocorticography. analysis has various applications, such as in detecting neurodegenerative diseases (eg. epilepsy) facilitating brain-computer interfaces. In this study, we utilize machine learning explore age prediction based on data....
For high-precision position control of wave-compensated gangways under random wave excitation, the kinematic model is established based on Denavit–Hartenberg parametric method. Desired motion parameters for each degree freedom (DOF) are solved through multi-DOF decoupling calculations. The telescopic arm, pitching and slewing seat simplified as mechanical-hydraulic motor-driven systems or cylinder-driven systems. nonlinear dynamic models system deduced their structural composition adaptive...