56 Result(s)
within
English
Computer Science
Computational Biology/Bioinformatics
Dong-**ng Wang
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Chapter and Conference Paper
Research on Applications of a New-Type Fuzzy-Neural Network Controller
A new fuzzy neural network is introduced in this paper which employs self-organization competition neural network to optimize the structure of the fuzzy neural network, and applies a genetic algorithm to adjus...
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Chapter and Conference Paper
Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach
Relevance vector machines (RVM) is a machine learning approach with good nonlinear approximation capacity and generalization performance. In order to solve the inverse model for nonlinear systems, a multiple r...
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Chapter and Conference Paper
Segmentation of Chinese Postal Envelope Images for Address Block Location
In this paper, we propose a simple segmentation approach for camera-captured Chinese envelope images. We first apply a moving-window thresholding algorithm, which is less curvature-biased and less sensitive to...
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Chapter and Conference Paper
Planting-Density Optimization Study Fortomato Fruit Set and Yield Based Onfunctional-Structural Model Greenlab
Quantification of tomato's fruit-sets depends on the level of competition for assimilate in different environment, and this paper presented some results of fruit yield and quality (fruit size) in response to e...
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Article
Stability-based preference selection in affinity propagation
Recently, as one of the most popular exemplar-based clustering algorithms, affinity propagation has attracted a great amount of attention in various fields. The advantages of affinity propagation include the e...
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Chapter and Conference Paper
A Segmentation-Free Model for Heart Sound Feature Extraction
Currently, the fatality of cardiovascular diseases (CVDs) represents one of the global primary healthcare challenges and necessitates broader population checking for earlier intervention. The traditional auscu...
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Chapter and Conference Paper
Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection
Nonnegative matrix factorization (NMF) has become a popular method and widely used in many fields, for the reason that NMF algorithm can deal with many high dimension, non-negative problems. However, in real g...
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Chapter and Conference Paper
Automatic Seizure Detection in EEG Based on Sparse Representation and Wavelet Transform
Sparse representation has been widely applied to pattern classification in recent years. In the framework of sparse representation based classification (SRC), the test sample is represented as a sparse linear ...
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Chapter and Conference Paper
Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes
Non-negative Matrix Factorization (NMF) has been widely concerned in computer vision and data representation. However, the penalized and restriction L0-norm measure are imposed on the NMF model in traditional NMF...
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Chapter and Conference Paper
Pose Estimation for Vehicles Based on Binocular Stereo Vision in Urban Traffic
Extensive research has been carried out in the field of driver assistance systems in order to increase road safety and comfort. We propose a pose estimation algorithm based on binocular stereo vision for calcu...
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Chapter and Conference Paper
Prediction of Pre-miRNA with Multiple Stem-Loops Using Feedforward Neural Network
miRNA is a kind of single non-coding RNA that plays a pivotal regulated role in gene expression and has a very important influence in disease occurrence, growth and development, cell proliferation and so on. T...
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Chapter and Conference Paper
Prediction of Protein Structural Classes Based on Predicted Secondary Structure
Prediction of protein structural classes is an important area in bioinformatics, it is beneficial to research protein function, regulation and interactions. In this paper, a 20-dimensional feature vector is ex...
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Chapter and Conference Paper
Preliminary Research on Combination of Exponential Wavelet and FISTA for CS-MRI
Compressed sensing magnetic resonance imaging (CS-MRI) is a hot topic in the field of medical signal processing. However, it suffers from low-quality reconstruction and long computation time. In this prelimina...
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Article
Improving reading comprehension step by step using Online-Boost text readability classification system
Online reading exercise becomes the universal tool for a wide variety of second language learning systems. Readability sorting is a key step to display suitable reading materials for the learners. Traditional...
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Chapter and Conference Paper
A Simple Review of Sparse Principal Components Analysis
Principal Component Analysis (PCA) is a common tool for dimensionality reduction and feature extraction, which has been applied in many fields, such as biology, medicine, machine learning and bioinformatics. B...
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Chapter and Conference Paper
A Novel Feature Extraction Method for Epileptic Seizure Detection Based on the Degree Centrality of Complex Network and SVM
Epilepsy is a kind of ancient disease, which is affecting the life of patients. With the increasing of incidence of epilepsy, automatic epileptic seizure detection with high performance is of great clinical si...
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Article
Self-adaptive extreme learning machine
In order to overcome the disadvantage of the traditional algorithm for SLFN (single-hidden layer feedforward neural network), an improved algorithm for SLFN, called extreme learning machine (ELM), is proposed ...
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Article
Small-world Hopfield neural networks with weight salience priority and memristor synapses for digit recognition
A novel systematic design of associative memory networks is addressed in this paper, by incorporating both the biological small-world effect and the recently acclaimed memristor into the conventional Hopfield...
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Chapter and Conference Paper
Classifying DNA Microarray for Cancer Diagnosis via Method Based on Complex Networks
Performing microarray expression data classification can improve the accuracy of a cancer diagnosis. The varying technique including Support Vector Machines (SVMs), Neuro-Fuzzy models (NF), K-Nearest Neighbor ...
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Chapter and Conference Paper
Prediction of Subcellular Localization of Multi-site Virus Proteins Based on Convolutional Neural Networks
Prediction of subcellular localization is critical for the analysis of mechanism and functions of proteins and biological research. A series of efficient methods have been proposed to identify subcellular loca...
