62 Result(s)
within
**u Tao
Computer Science
Artificial Intelligence
Computational Intelligence
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Article
A New Fuzzy Support Vector Machine Based on the Weighted Margin
The ideas from fuzzy neural networks and support vector machine (SVM) are incorporated to make SVM classifiers perform better. The influence of the samples with high uncertainty can be decreased by employing t...
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Reference Work Entry In depth
Image Quality Assessment — A Multiscale Geometric Analysis-Based Framework and Examples
This chapter is about objective image quality assessment (IQA), which has been recognized as an effective and efficient way to predict the visual quality of distorted images. Basically, IQA has three different de...
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Chapter and Conference Paper
Characteristics Analysis of Cloud Services Based on Complex Network
This paper researched the theory of cloud services based on complex network theory and graph theory. By virtue of the generalized network model of cooperation, a method of building cloud services network model...
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Chapter and Conference Paper
Sensorless Vector Control of PMSM in Wide Speed Range
In order to achieve the sensorless vector control of PMSM in wide speed range, a hybrid control mode strategy is presented, which included sliding mode observer (SMO) and high frequency injection (HFI). At med...
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Chapter
Recent Advances in DC Programming and DCA
Difference of Convex functions (DC) Programming and DC Algorithm (DCA) constitute the backbone of Nonconvex Programming and Global Optimization. The paper is devoted to the State of the Art with recent advance...
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Article
Open AccessDC programming in communication systems: challenging problems and methods
Nonconvex optimization becomes an indispensable and powerful tool for the analysis and design of Communication Systems (CS) since the last decade. As an innovative approach to nonconvex programming, Difference...
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Article
Exponential \(p\) -Synchronization of Non-autonomous Cohen–Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control
The problem of \(p\) p ...
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Article
Homogenous Spiking Neural P Systems with Inhibitory Synapses
Spiking neural P systems with inhibitory synapses (ISN P systems, for short) are a class of discrete neural-like computing models, which are inspired by the way of biological neurons storing and processing inf...
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Article
Non-negative Matrix Factorization with Pairwise Constraints and Graph Laplacian
Non-negative matrix factorization (NMF) is a very effective method for high dimensional data analysis, which has been widely used in information retrieval, computer vision, and pattern recognition. NMF aims to...
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Article
Asynchronous Spiking Neural P Systems with Anti-Spikes
Spiking neural P systems with anti-spikes (ASN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes and inhibitory spikes. AS...
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Chapter and Conference Paper
Determination of the Vehicle Relocation Triggering Threshold in Electric Car-Sharing System
The electric car-sharing system is an arising and promising urban transportation mode. Vehicle unbalance usually occurs in multi-station electric car-sharing systems. Threshold triggering method is the most pr...
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Chapter and Conference Paper
Modeling and Simulation of Parafoil Systems in Wind Fields
Parafoil systems are a kind of flexible wing vehicle. In view that the vehicle flying at low altitude is more susceptible to wind fields, and considering that the parafoil canopy and the payload are regarded a...
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Chapter and Conference Paper
Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram
Environmental Microbiology (EM) is an field, the usage of microorganisms. Traditionally, researchers look for the information of microorganisms by checking references or consulting experts. However...
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Chapter
Design Patterns and Primitives: Introduction of Components and Patterns for SACS
When faced with the task of designing and implementing self-aware and self-expressive computing systems, researchers and practitioners need guidelines on how to use the concepts and foundations of self-awarene...
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Article
Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations
This paper investigates the synchronization control problem of coupled memristor-based neural networks (CMNNs) with mixed delays and stochastic perturbations. By utilizing simple feedback controllers, some nov...
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Article
Local Bifurcation Analysis of a Fractional-Order Dynamic Model of Genetic Regulatory Networks with Delays
In this paper, we propose a delayed fractional-order gene regulatory network model. Firstly, the sum of delays is chosen as the bifurcation parameter, and the conditions of the existence for Hopf bifurcations ...
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Article
Robust \(l_{2,1}\) Norm-Based Sparse Dictionary Coding Regularization of Homogenous and Heterogenous Graph Embeddings for Image Classifications
In the field of manifold learning, Marginal Fisher Analysis (MFA), Discriminant Neighborhood Embedding (DNE) and Double Adjacency Graph-based DNE (DAG-DNE) construct the graph embedding for homogeneous and het...
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Article
Pruning the Ensemble of ANN Based on Decision Tree Induction
Ensemble learning is a powerful approach for achieving more accurate predictions compared with single classifier. However, this powerful classification ability is achieved at the expense of heavy storage requi...
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Article
A New Virtual Samples-Based CRC Method for Face Recognition
The research of automatic face recognition has attracted much attention from many researchers because of human faces’ uniqueness and usability. However, in the real-world applications, the acquisition equipmen...
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Article
A Parallel Image Skeletonizing Method Using Spiking Neural P Systems with Weights
Spiking neural P systems (namely SN P systems, for short) are bio-inspired neural-like computing models under the framework of membrane computing, which are also known as a new candidate of the third generatio...
