A5101681827- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Image and Signal Denoising Methods
- Adaptive Control of Nonlinear Systems
- Speech and Audio Processing
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Advanced Computational Techniques and Applications
- Speech Recognition and Synthesis
- Data Management and Algorithms
- Stability and Control of Uncertain Systems
- Data Mining Algorithms and Applications
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Face and Expression Recognition
- Advanced Algorithms and Applications
- AI in cancer detection
- Distributed and Parallel Computing Systems
- Microbial Metabolic Engineering and Bioproduction
- Environmental and Agricultural Sciences
- Text and Document Classification Technologies
- Real-time simulation and control systems
- Phonetics and Phonology Research
- Water Quality Monitoring and Analysis
- COVID-19 diagnosis using AI
Hangzhou Normal University
2014-2024
Tianjin University of Technology
2024
Beijing Jiaotong University
2014-2023
Chongqing Institute of Green and Intelligent Technology
2022
Zhijiang College of Zhejiang University of Technology
2016-2021
Zhejiang University of Technology
2006-2021
Southwest University of Science and Technology
2020-2021
Tianjin University
2014-2020
Zhejiang Hospital
2019
PRG S&Tech (South Korea)
2018
It has been more than two years since the outbreak of COVID-19, which spread to almost every corner world and killed a great number people. Rapid detection screening have become an important means controlling COVID-19. Segmentation COVID-19 infected tissue from computed tomography (CT) images patient's lungs can provide clinicians with information quantify diagnose However, accuracy medical image segmentation is seriously affected by such factors as low contrast between edge surrounding...
In this study, three advanced oxidation processes (AOP) were investigated for their capabilities to reduce petroleum hydrocarbons (PHC) in oily sludge. These include ultrasonic treatment alone, Fenton's reaction process and the combination of ultrasound (US/Fenton). Under experimental conditions, achieved a reduction 22.6% 13.8% total (TPH), respectively. However, TPH 43.1% was observed combined reaction, indicating that individual AOP is complementary one another. As result, could be acted...
Live-cell imaging of multiple subcellular structures is essential for understanding dynamics. However, the conventional multi-color sequential fluorescence microscopy suffers from significant delays and limited number structure separate labeling, resulting in substantial limitations real-time live-cell research applications. Here, we present Adaptive Explainable Multi-Structure Network (AEMS-Net), a deep-learning framework that enables simultaneous prediction two single image. The model...
Abstract Background In the big wave of artificial intelligence sweeping world, machine learning has made great achievements in healthcare past few years, however, these methods are only based on correlation, not causation. The particularities determines that research method must comply with causality norm, otherwise wrong intervention measures may bring patients a lifetime misfortune. Methods We propose two-stage prediction (instance feature selection and causal effect analysis) for instance...
In this paper, we propose a new method to detect image copy-move tampering using SIFT and bi-coherence features. feature (scale invariant features transform), which is insensitive geometrical illumination distortions, has achieved good results for region duplication detection as shown in [1], [2] [3]. However, deeper forensics analysis such contents motives also important especially when images take the role of legal events. extract matched keypoints digital cluster them based on three-Point...
Explicit model predictive control (EMPC) moves the online computational burden of linear (MPC) to offline computation by using multi-parametric programming which produces laws defined over a set polyhedral regions in state space. The EMPC is find corresponding law according given state, this called point location problem. This paper deals with efficient larger data sets. authors propose hybrid structure, grid k-d tree (GKDT), constructed k-dimensional (k-d tree), hash table and binary search...
This paper is devoted to decomposing one given image into the cartoon and texture. The parts correspond main large objects in image, textural contain fine scale details. Mathematically, these two components should belong different function spaces corresponding norms. In most variational models of decomposition, are described by total variation norm texture characterized its dual norm. Using methods, can be separated from original image. Some structures, such as edges, well preserved However,...
Abstract Floods in small mountainous watersheds cover a wide spectrum of flow. They can range from clear water flows and hyperconcentrated to debris floods flows, calculation the peak discharge is crucial for predicting mitigating such hazards. To determine optimal approach estimation, this study compared flow monitoring hydrographs investigate performance five hydrological models that incorporate different runoff yields influx methods. Two performed well simulating discharge, time, total...