A5018881017- Water Quality Monitoring Technologies
- Context-Aware Activity Recognition Systems
- Advanced Technologies in Various Fields
- Fluid Dynamics Simulations and Interactions
- Gene Regulatory Network Analysis
- Face and Expression Recognition
- Machine Learning and ELM
- Domain Adaptation and Few-Shot Learning
- Advanced Image Fusion Techniques
- Remote Sensing in Agriculture
- Microbial Metabolic Engineering and Bioproduction
- Fluid Dynamics and Heat Transfer
- Numerical methods in engineering
- Bioinformatics and Genomic Networks
- Remote-Sensing Image Classification
Space Engineering University
2024
National University of Defense Technology
2016-2021
Detecting changes in multisource heterogeneous images is a great challenge for unsupervised change detection methods. Image-translation-based methods, which transform two to be homogeneous comparison, have become mainstream approach. However, most of them primarily rely on information from unchanged regions, resulting networks that cannot fully capture the connection between representations. Moreover, lack priori and sufficient training data makes vulnerable interference changed pixels. In...
Automatic detection of abnormal cells from cervical smear images is extremely demanded in annual diagnosis women's cancer. For this medical cell recognition problem, there are three different feature sections, namely cytology morphology, nuclear chromatin pathology and region intensity. The challenges problem come combination s classification accurately efficiently. Thus, we propose an efficient system based on multi-instance extreme learning machine (MI-ELM) to deal with above two questions...
Effectively recognising human activity from wearable sensors is a valuable yet challenging task due to the intrinsic data complexity and inevitable dynamic nature of diverse application scenarios. Existing works are weak address dynamics capture low level structural relationships between an context in consecutive time window real-time manner. In this paper, we propose novel bag-level classification method that can efficiently recognise activities sensing data. The proposed hierarchically...
Solving fluid–structure interaction (FSI) problems using traditional methods poses significant challenges in the field of numerical simulation. The multiphysics coupling library precise code environment (preCICE), renowned for its robust capabilities, offers a promising solution FSI problems. It supports various open/closed source software and commercial computational fluid dynamics solvers black box manner. However, preCICE currently mainly schemes mesh-based as well few meshless methods....
Effectively recognising human activity from wearable sensors is a valuable yet challenging task due to the intrinsic data complexity and inevitable dynamic nature of diverse application scenarios. Existing works are weak address dynamics capture low level structural relationships between an context in consecutive time window real-time manner. In this paper, we propose novel bag-level classification method that can efficiently recognise activities sensing data. The proposed hierarchically...
Biochemical simuflation and analysis play a significant role in systems biology research. Numerous software tools have been developed to serve this area. Using these for completing tasks, example, stochastic simulation, parameter fitting optimization, usually requires sufficient computational power make the duration of completion acceptable. COPASI is one most powerful quantitative simulation targeted at biological systems. It supports markup language covers multiple categories tasks. This...