- Phonocardiography and Auscultation Techniques
- ECG Monitoring and Analysis
- Optimization and Packing Problems
- Artificial Immune Systems Applications
- Metaheuristic Optimization Algorithms Research
- Machine Fault Diagnosis Techniques
- Scheduling and Optimization Algorithms
- Music and Audio Processing
- Advanced Manufacturing and Logistics Optimization
- Gear and Bearing Dynamics Analysis
- Image and Signal Denoising Methods
- Vehicle Noise and Vibration Control
- Microbial Metabolic Engineering and Bioproduction
- Advanced Data Compression Techniques
- Advanced Proteomics Techniques and Applications
- Geotechnical Engineering and Underground Structures
- Radiomics and Machine Learning in Medical Imaging
- Geotechnical Engineering and Analysis
- Non-Invasive Vital Sign Monitoring
- Smart Parking Systems Research
- Brain Tumor Detection and Classification
- Face and Expression Recognition
- Evolutionary Algorithms and Applications
- Geotechnical Engineering and Soil Stabilization
- Face recognition and analysis
University of Macau
2013-2015
Huizhou University
2009-2014
Jiangsu University
2008
Tunnel excavation below existing tunnels produces ultimate and serviceability problems to the tunnels. The behaviours of induced stresses on haven't yet been fully recognized. In this study, a centrifuge model test was adopted investigate effects new tunnelling two overlying One tunnel simulated prototype composite lining other segmental tunnel. volume loss produced by modelled an in-flight actuator system. surface settlements, soil pressures tunnels, bending movements joint were monitored....
An improved clonal selection artificial immune algorithm is presented to identify the isomorphism of mechanism kinematic chains. The principles identification are based on graph theory that adjacency matrices two isomorphic graphs can interconvert. by adding a process named saving and updating operator after refreshing. high efficiency robustness this proved comparing it with simple algorithm. simulation results show chains successfully rapidly.
Abstract A novel swarm intelligence approach for combinatorial optimization is proposed, which we call probability increment based (PIBSO). The population evolution mechanism of PIBSO depicted. Each state in search space has a to be chosen. rule increasing the probabilities states established. Incremental factor proposed update state, and its value determined by fitness state. It lets with better have higher probabilities. Usual roulette wheel selection employed select states. Population...
A soft-computing method attenuating noise from heart sound (HS) signal for wearable e-healthcare device is proposed. The HS decomposed by third-level wavelet packet transform (WPT). An automatic cycle detection algorithm applied to find cycles in the (3, 0) leaf of WPT tree. Based on quasi-cyclic feature HS, short-time Fourier implemented each tree decompose into time-frequency fragments which are called particles. Furthermore, novel cuboid proposed identify constituents and such generated...
PCB assembly on the sequential pick-and-place machine is a typical NP-hard combinatorial optimisation problem which critical bottleneck in electronic product manufacturing industry. In this paper, two-stage approach proposed. first stage, distance score with weights selection (DSWS) method proposed to select suited set of slots load feeders. second novel swarm intelligence approach, called elimination decay-based (EDSIA) solve problems assignment feeders selected and placement sequence...
This paper discusses lung cancer detection in chest X-ray images with a parallel genetic algorithm (GA). The template matching method and local search techniques are combined to the Java Spaces is used construct system. promising results presented experiments.
A novel ad-hoc approach named Distance Score with Weights Selection (DSWS) is proposed to select suitable slots for loading feeders. genetic algorithm search the optimal solutions of arranging feeders selected and sequencing placement positions. The numerical results show effectiveness efficiency its advantages over existing benchmark algorithms.