A5102134300- Advanced Control Systems Optimization
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Optical Imaging Technologies
- Advanced Multi-Objective Optimization Algorithms
- Gait Recognition and Analysis
- Human Pose and Action Recognition
- Advanced Control Systems Design
- Artificial Immune Systems Applications
- Venous Thromboembolism Diagnosis and Management
- Photonic and Optical Devices
- Biosensors and Analytical Detection
- Fault Detection and Control Systems
- Fuzzy Systems and Optimization
- Stability and Control of Uncertain Systems
- Stock Market Forecasting Methods
- Multiple Myeloma Research and Treatments
- Anomaly Detection Techniques and Applications
- Gold and Silver Nanoparticles Synthesis and Applications
- Photorefractive and Nonlinear Optics
- Color Science and Applications
- Tannin, Tannase and Anticancer Activities
- Cholesterol and Lipid Metabolism
- Protein Degradation and Inhibitors
- Lymphoma Diagnosis and Treatment
Second Affiliated Hospital of Xi'an Jiaotong University
2024
BOE Technology Group (China)
2023-2024
First Affiliated Hospital of Xi'an Jiaotong University
2023
University of California, Irvine
2019
Xidian University
2008-2017
King Abdulaziz University
2015
Systems Research Institute
2015
Polish Academy of Sciences
2015
University of Alberta
2008
Differential evolution is a high-performance optimizer that very easy to understand and implement. It similar in some ways genetic algorithms or evolutionary algorithms, but requires less computational bookkeeping generally only few lines of code. In this paper, differential implemented compared particle swarm optimization for control first-order process with time delay, using fuzzy PID, PID controller. The results show the scenarios are better suited versus other. shares ability algorithm...
ABSTRACT Background Venous thromboembolic events (VTEs) are the second‐leading cause of death in cancer patients, with an incidence 5%–17% lymphoma particularly higher those non‐Hodgkin (NHL). Existing risk assessment models (RAMs) like Khorana and ThroLy scores have limitations inadequately validated for NHL patients. Coagulation markers such as D‐dimer, thrombin–antithrombin complex (TAT), thrombomodulin (TM) show a potential predictive value cancer‐associated VTE but lack extensive...
Abstract Objective The causal association between osteoarthritis (OA) and bladder cancer remains unclear. This Mendelian randomization (MR) study was carried out to assess the potential effects of any OA, knee OA hip cancer. Method Genome‐wide (GWAS) summary data for were obtained in GWAS CATALOG, UK Biobank, FinnGen Consortium. Inverse‐variance weighted (IVW) approach primarily conducted evaluate relationships cancer, MR‐Egger intercept Cochran's Q test mainly used estimate heterogeneity...
Abstract This paper presents a new approach to modelling and control of hybrid systems with both continuous variables discrete events. Applying the fuzzy set theory, hierarchical structure consisting event dynamic system variable is constructed, which not only captures continuous/discrete dynamics but also handles uncertainties in states state transitions. The identification components developed, then synthesised by IF–THEN rules embedded interface. An example optimisation production line...
Surface enhanced Raman scattering (SERS) is a vibrational spectroscopy method that enables the quantification of concentration small molecules. SERS sensing has been demonstrated in wide variety applications, from explosive and drug detection, to monitoring bacteria growth. Underpinning are sensor surfaces composed vast quantities metal nanostructures which confine light into gaps called "hotspots", enhancing scattering. While these essential for increasing intensity so analyte signal may be...
Gait recognition has become one of the common practices in multi-class human identification. It led a research stream to explore dynamics an entire silhouette sequence. In this paper, more intuitive identification approach using direct comparison features extracted from single frame is proposed; we refer as matching. The obtained vectors all probe frames are then fused together yield final output. proposed evaluated on standard CASIA Databases (Dataset B) and yields encouraging results.
This paper successfully designed an ultra‐short focal pancake virtual reality optical system with a total length of 14mm, which is much lower than the existing mainstream solutions on market. It paired 4K4K high‐resolution Micro‐ OLED to provide immersive visual experience.
Abstract The emergence of abnormal protein bands (APBs), also known as oligoclonal bands, has been documented in patients with multiple myeloma (MM) post hematopoietic stem cell transplantation. However, the incidence rate and clinical significance APBs remain contentious. Few studies have explored occurrence prognostic implications MM treated B‐cell maturation antigen (BCMA)–specific chimeric receptor (CAR)‐T therapy. In this retrospective study, we examined frequency, isotypes, duration...
Evolutionary optimizers (EOs) have assumed a visible position as important problem solvers because of their flexibility, versatility, and ability to optimize in complex multimodal search spaces. This paper discusses sparse optimization with special emphasis placed on mixed genetic algorithm-particle swarm (GA-PSO) techniques.
In this paper, the employment of feature grouping is concentrated on to relax sample size requirement sparse linear extraction. Genetic Linear Projections (GLP) one latest extraction approaches. The major drawback applying GLP that it may encounter a small problem. work, reviewed in practical, problem-oriented context, and then goes examine potential application abate required support by combining techniques with evolutionary optimizer based approach. Simulation results manifest satisfying...
Training set sampling strategies are used in the context of population-based fuzzy modeling and classification to evaluate quality a data set. The objective is explain use down-sampling as means for reducing number redundant samples. It believed clustering be rather generally applicable applications. hypothesis empirically validated by examining performance differential evolution classifiers on Iris Breast Cancer Wisconsin sets. learning curves analyzed with respect choice strategies. A...
With the expansion of markets about near‐eye display devices and other similar consumer devices, highly optical efficiency performance these have also received more attention challenge. So in this paper, a novel backlight unit for liquid crystal (LCD) is reported. The angle radiation can change with position active area (AA) two directions. range chief vary than ±20°. In meanwhile, same power consumption, brightness achieve or exceed existing level backlight.
In gait scenes, the speeds of subjects (people) are slower comparatively to camera. This may cause a redundancy in frame. The objective this paper is study temporal frame GEI-based recognition and explain use down-sampling strategy as means for reducing number redundant frames. It argued that strategy, with reasonable sample rate provide necessary information, yields superior performance cases measured by learning efficiency. Despite its simplicity, resulting frames contain enough...