A5002692065- Advanced Mathematical Physics Problems
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Stability and Controllability of Differential Equations
- Network Security and Intrusion Detection
- Spectral Theory in Mathematical Physics
- Chaos-based Image/Signal Encryption
- Advanced Malware Detection Techniques
- Internet Traffic Analysis and Secure E-voting
- Nonlinear Partial Differential Equations
- Privacy-Preserving Technologies in Data
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Image Enhancement Techniques
- Cold Atom Physics and Bose-Einstein Condensates
- Navier-Stokes equation solutions
- Numerical methods for differential equations
- Neural Networks Stability and Synchronization
- Cryptography and Data Security
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Evaluation Methods in Various Fields
- Advanced Data Compression Techniques
- Digital and Cyber Forensics
- Advanced Computational Techniques and Applications
Sichuan Normal University
2013-2024
Wuhan University
2019-2024
Hangzhou Normal University
2019-2023
Peking University Shenzhen Hospital
2023
University of Electronic Science and Technology of China
2004-2022
Shanghai Medical Information Center
2022
Wuhan Sports University
2009-2021
Nanjing Institute of Technology
2011-2021
Chinese Center For Disease Control and Prevention
2020
Chinese Academy of Sciences
2006-2019
Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving microdata publishing. Recent work has shown that loses considerable amount of information, especially high-dimensional data. Bucketization, on the other hand, does not prevent membership disclosure apply data do a clear separation between quasi-identifying attributes sensitive attributes. In this paper, we present novel technique called slicing, which partitions both...
Currently there are many methods for calculating the periodicity of Arnold transformation and getting inverse transformation, use traditional image scrambling has become unsafe, this issue it proposes an algorithm digital block location scrambling. It improved by adding two parameters a b, furthermore Logistic map to generate parameter sequences. The is blocked, then carry out with different on each block, after that put transformed pixels corresponding position encrypted image, thus...
Utilizing neuroimaging and machine learning (ML) to differentiate schizophrenia (SZ) patients from normal controls (NCs) for detecting abnormal brain regions in has several benefits can provide a reference the clinical diagnosis of schizophrenia. In this study, structural magnetic resonance images (sMRIs) SZ NCs were used discriminative analysis. This study proposed an ML framework based on coarse-to-fine feature selection. The two-sample t -tests extract differences between groups first,...
Current computer-aided diagnosis system with deep learning method plays an important role in the field of medical imaging. The collaborative diseases by multiple institutions has become a popular trend. However, large scale annotations put heavy burdens on experts. Furthermore, centralized defects privacy protection and model generalization. To meet these challenges, we propose two federated active methods for multicenter diseases: Labeling Efficient Federated Active Learning (LEFAL)...
Recent work has shown the importance of considering adversary's background knowledge when reasoning about privacy in data publishing. However, it is very difficult for publisher to know exactly knowledge. Existing cannot satisfactorily model and reason presence such This paper presents a general framework modeling using kernel estimation methods. subsumes different types (e.g., negative association rules) that can be mined from data. Under this framework, we Bayesian inference techniques...
Abstract Precision time synchronization between two remote sites is desired in many applications such as global positioning satellite systems, long-baseline interferometry, coherent radar detection and fundamental physics constant measurements. The recently developed frequency dissemination technologies based on optical fiber link have improved the transfer instability to level of 10 −19 /day at location. Therefore it possible keep clock oscillation locations continuously corrected, or...
In this paper, we provide a sequential rank-based adaptive nonparametric cumulative sum control chart for detecting range of shifts in the location parameter. This is self-starting scheme, and thus can be used to monitor processes at start-up stages rather than having wait accumulation sufficiently large calibration samples. It does not require any prior knowledge underlying distribution. The choice parameters studied simulation study demonstrates that proposed only performs robustly...
In this paper, we provide an adaptive Phase II nonparametric exponentially weighed moving average control chart using variable sampling interval for detecting a range of shifts in the location parameter. This is one and has interval, which makes it more efficient. Further, self‐starting scheme thus can be used to monitor processes at start‐up stages. The choice parameters studied, simulation study demonstrates that proposed not only performs robustly different distributions, but also...
This paper is concerned with the blow-up solutions of focusing fourth-order mass-critical nonlinear Schrödinger equation.Establishing profile decomposition bounded sequences in H 2 , we obtain variational characteristics corresponding ground state and a compactness lemma.Moreover, L -concentration limiting minimal mass general case.
Nonparametric control chart is useful when the underlying distribution unknown, or not likely to be normal. In this article, we provide a sequential rank-based nonparametric adaptive EWMA (NAE) for detecting persistent shift in location parameter. This NAE self-starting scheme and thus can used monitor processes at start-up stages rather than waiting accumulation of sufficiently large calibration samples. Moreover, do require any prior knowledge distribution, prespecify tuning parameter...
The rapidly growing encrypted traffic hides a large number of malicious behaviours. difficulty collecting and labelling makes the class distribution dataset seriously imbalanced, which leads to poor generalisation ability classification model. To solve this problem, new representation learning method in its diversity enhancement model are proposed, uses images represent samples. First, is transformed into Markov images. Then, maximisation Markov-GAN based on Simpson index designed generate...
Abstract This paper is concerned with the standing wave in coupled non‐linear Klein–Gordon equations. By an intricate variational argument we establish existence of ground state. Then derive out sharp criterion for blowing up and global by applying potential well concavity method. We also show instability wave. Copyright © 2003 John Wiley & Sons, Ltd.
In this paper, we study the blow-up solutions for Davey-Stewartson systemUsing profile decomposition of bounded sequences in H 1 (R 3 ), give some new variational characteristics ground states and generalized Gagliardo-Nirenberg inequalities.Then, obtain precise expressions on sharp criteria to (DS) + 4 ≤ p < 5.