9 Result(s)
within
Computer Science
Artificial Intelligence
Computational Intelligence
**u Tao
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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
Feature-Based Learning in Drug Prescription System for Medical Clinics
Rapid increases in data volume and variety pose a challenge to safe drug prescription for health professionals like doctors and dentists. This is addressed by our study, which presents innovative approaches in...
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Article
Semi-Supervised Clustering for Financial Risk Analysis
Many methods have been developed for financial risk analysis. In general, the conventional unsupervised approaches lack sufficient accuracy and semantics for the clustering, and the supervised approaches rely ...
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Article
An Empirical Mode Decomposition Fuzzy Forecast Model for COVID-19
At present, the Corona Virus Disease 2019 (COVID-19) is ravaging the world, bringing great impact on people’s life safety and health as well as the healthy development of economy and society, so the research o...
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Article
Attention Based Convolutional Neural Network with Multi-frequency Resolution Feature for Environment Sound Classification
The environmental sound classification has great research significance in the fields of intelligent audio monitoring and other fields. A novel multi-frequency resolution (MFR) feature is proposed in this paper...
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Article
Open AccessKnowledge Graph Embedding via Triplet Component Interactions
In knowledge graph embedding, multidimensional representations of entities and relations are learned in vector space. Although distance-based graph embedding methods have shown promise in link prediction, they...
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Article
Open AccessDensity-Based Discriminative Nonnegative Representation Model for Imbalanced Classification
Representation-based methods have found widespread applications in various classification tasks. However, these methods cannot deal effectively with imbalanced data scenarios. They tend to neglect the importan...
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Article
Open AccessRobustness analysis of exponential stability of fuzzy inertial neural networks through the estimation of upper limits of perturbations
This paper characterizes the robustness of exponential stability of fuzzy inertial neural network which contains time delays or stochastic disturbance through the estimation of upper limits of perturbations. B...
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Article
Open AccessSSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation
Image sample augmentation refers to strategies for increasing sample size by modifying current data or synthesizing new data based on existing data. This technique is of vital significance in enhancing the per...
