25 Result(s)
within
Chapter
Lingxi Peng
English
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Chapter and Conference Paper
MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs
The success of Vision Transformer has led to an increased emphasis on combining global and local context, and its high training cost spawned numerous alternative works. The latest MLP architecture has achieved...
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Chapter and Conference Paper
A Gras** System with Structured Light 3D Machine Vision Guided Strategy Optimization
In scenarios such as automated sorting in logistics warehouses, automated assembly on industrial production lines, and transportation of rescue tasks and items, it is necessary to quickly grasp and place objec...
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Chapter and Conference Paper
Research on Information Hiding Based on Intelligent Creation of Tang Poem
Text is the most important and frequent way for people to exchange information and daily communication in today’s society; thus, text information hiding has great research value and practical significance. Thi...
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Chapter and Conference Paper
A Steganographic Method Based on High Bit Rates Speech Codec of G.723.1
With compressed speech codecs having been widely used as the key technology for VoIP and mobile communications, steganography based on compressed speech streams has been flourishing in recent years. In this pa...
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Chapter and Conference Paper
Algorithms for the Densest Subgraph with at Least k Vertices and with a Specified Subset
The density of a subgraph in an undirected graph is the sum of the subgraph’s edge weights divided by the number of the subgraph’s vertices. Finding an induced subgraph of maximum density among all subgraphs w...
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Chapter and Conference Paper
Privacy-Preserving Data Mining Algorithm Based on Modified Particle Swarm Optimization
The privacy preserving data mining is a research hotspot. Most of the privacy preserving algorithms are focused on the centralized database. The algorithms on the distributed database are very vulnerable to co...
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Chapter and Conference Paper
Multiobjective Estimation of Distribution Algorithms Using Multivariate Archimedean Copulas and Average Ranking
Estimation of distribution algorithms (EDAs) are a class of evolutionary optimization algorithms based on probability distribution model. This chapter extends the basic EDAs for tackling multiobjective optimiz...
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Chapter and Conference Paper
Opposition-Based Learning Fully Informed Particle Swarm Optimizer without Velocity
By applying full information and employing the notion of opposition-based learning, a new opposition based learning fully information particle swarm optimiser without velocity is proposed for optimization prob...
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Chapter and Conference Paper
EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula
Estimation of distribution algorithms (EDAs) are a class of evolutionary optimization algorithms based on probability distribution model. This article extends the basic EDAs for tackling multi-objective optimi...
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Chapter and Conference Paper
Immune Network Risk Evaluation Model Based on the Spreading of Infectious Diseases
From the mechanism of infectious epidemic spreading, the theory of network epidemic spreading was studied in this paper. The process of the developments and changes of the network intrusion behaviors were anal...
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Chapter and Conference Paper
Network Security Evaluation Model Based on Cloud Computing
Cloud computing is an important innovation in the current computing model. The critical problem of cloud computing faced at present is the security issue. In the current network environment, that relying on a ...
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Chapter and Conference Paper
An Architecture for Cloud Computing and Human Immunity Based Network Intrusion Detection
Traditional intrusion detection system is confronted with the pressure of processing massive network traffic data which increases sharply. Besides, its feature of static detection causes the weak adaptability ...
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Chapter and Conference Paper
Velocity-Free Multi-Objective Particle Swarm Optimizer with Centroid for Wireless Sensor Network Optimization
A velocity-free multi-objective particle swarm optimizer with centroid is proposed and applied to optimization of wireless sensor network. Different from the standard PSO, particles in swarm only have position...
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Chapter and Conference Paper
Real-Valued Negative Selection Algorithm with Variable-Sized Self Radius
Negative selection algorithm (NSA) generates the detectors based on the self space. Due to the drawbacks of the current representation of the self space in NSAs, the generated detectors cannot enough cover the...
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Chapter and Conference Paper
Efficient Detect Scheme of Botnet Command and Control Communication
Botnet is an attack network composed of hundreds of millions of compromised computers. Botnet is emerging as the most serious threat against cyber-security and is used to launch Distributed Denial of Service (...
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Chapter and Conference Paper
Opposition-Based Learning Estimation of Distribution Algorithm with Gaussian Copulas and Its Application to Placement of RFID Readers
Estimation of distribution algorithms are a class of optimization algorithms based on probability distribution model. In this paper, we propose an improved estimation of distribution algorithm using opposition...
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Chapter and Conference Paper
Document Classification with Multi-layered Immune Principle
Automatic document classification is helpful in both organizing and finding information on huge resources. A novel multi-layered immune based document classification algorithm is presented. First, we represent...
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Chapter and Conference Paper
Quantum Immune Algorithm and Its Application in Collision Detection
Collision detection is very important to improve the truth and immersion in the virtual environment. Firstly the paper analyzes the problems that exist in traditional algorithms. There is no algorithm suitable...
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Chapter and Conference Paper
Research of Modified Quantum Genetic Algorithm and It’s Application in Collision Detection
Collision detection is very important for improving the truth and immersion in the virtual environment. The paper analyzes the problems that exist in the normal algorithm. And there is no algorithm which is su...
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Chapter and Conference Paper
A Collision Detection Algorithm Based on Self-adaptive Genetic Method in Virtual Environment
Collision detection is very important to enhance the sense of reality and immersion in virtual environment. Most of the traditional collision detection algorithms have been analyzed, but there is no algorithm ...
