A5038898406- Transportation Planning and Optimization
- Face and Expression Recognition
- Blind Source Separation Techniques
- Traffic Prediction and Management Techniques
- Text and Document Classification Technologies
- Traffic control and management
- Advanced Algorithms and Applications
- Fractional Differential Equations Solutions
- Evaluation and Optimization Models
- Web Data Mining and Analysis
- Biometric Identification and Security
- Industrial Technology and Control Systems
- Machine Learning and Algorithms
- Neural Networks Stability and Synchronization
- Imbalanced Data Classification Techniques
- Urban Transport and Accessibility
- Security in Wireless Sensor Networks
- Anomaly Detection Techniques and Applications
- Transportation and Mobility Innovations
- Evolution and Genetic Dynamics
- Spectroscopy and Chemometric Analyses
- Non-Invasive Vital Sign Monitoring
- Topic Modeling
- Evaluation Methods in Various Fields
- Cardiovascular and exercise physiology
Hubei University
2020-2024
Chongqing University
2024
Wuhan Institute of Technology
2023-2024
State Grid Corporation of China (China)
2023
Wuhan University of Technology
2020-2021
Chongqing Jiaotong University
2021
Wuchang University of Technology
2011
The robust asymptotical stability and stabilization for a class of fractional-order complex-valued neural networks (FCNNs) with parametric uncertainties time delay are considered in this paper. It is worth noting that our system combines complex numbers, uncertain parameters, delay, fractional orders, which universal practical application. Using the theorem homeomorphism, sufficient condition existence uniqueness equilibrium point obtained. Then, criteria addressed models established,...
Functional linear regression is one of the main modeling tools for working with functional data. Since data are usually stream essentially and there some noises in Many numerical research studies machine learning indicate that noise samples not only increase amount storage space, but also affect performance algorithm. Therefore, this paper we consider a new strategy by introducing incremental learning, Markov sampling propose novel square algorithm based on (FILSR-MS). To have better...
This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing mesoscopic simulation model. Several means such as private car, subway, bus and bicycle are considered in the network. The simulator consists of supply based on MesoTS time-dependent demand simulator. mode choice is simultaneously considered with route improved C-Logit procedure implemented shortest path (TDSP) algorithm which travellers choose their modes routes...
This paper proposes a stochastic user equilibrium assignment model for ascertaining the difference in travel mode choice behavior degradable multi-modal traffic network. In proposed model, on basis of actual which often needs to transfer different modals, all travels are categorized into two classes: pure car trip travelers and combined trip(car-subway) travelers. The network conditions formulated as an equivalent fixed-point problem, proof its solution existence is provided afterwards. A...
Incremental learning is one of the effective methods from accumulated training samples and large-scale dataset. The main advantages incremental consist making full use historical information, reducing scale greatly saving space time consumption. Despite extensive research on support vector machine (SVM) algorithms, most them are based independent identically distributed (i.i.d.). Not only that, there has been no theoretical analysis SVM algorithms. In this paper, we mainly study...
In this paper, we consider the online regularized pairwise learning (ORPL) algorithm with least squares loss function for non-independently and identically distribution (non-i.i.d.) observations. We first establish new Bennett’s inequalities [Formula: see text]-mixing sequence, geometrically text]-geometrically ergodic Markov chain uniformly chain. Then convergence rates last iterate of ORPL polynomially decaying step sizes varying regularization parameters non-i.i.d. These established...
It has been proven to be unsafe make the deleted member fail pass group signature and legal implement scheme of valid through updating operator scheme. Then secret property key cannot accomplished by each member. In this paper, a new is designed, whose work done administrator. Its security based on discrete logarithm factorization difficulty, which resistant collusion attacks.
Abstract We propose indicators to measure blood oxygen saturation: 1. Mean, which reflects the central tendency of saturation; 2. Standard deviation, dispersion SpO 2 ; 3. Hurst exponent, indicates whether time series is continuous or anti-continuous. Participants with nearly same physiological characteristics except age are selected from all participants, and they divided into female male groups for visual analysis. speculate that model had a certain relationship age. Subsequently,...