Titlebook: Intelligent Computing Theories and Application; 15th International C De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Pre Conference proceedi

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书目名称Intelligent Computing Theories and Application影响因子(影响力)




书目名称Intelligent Computing Theories and Application影响因子(影响力)学科排名




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书目名称Intelligent Computing Theories and Application网络公开度学科排名




书目名称Intelligent Computing Theories and Application被引频次




书目名称Intelligent Computing Theories and Application被引频次学科排名




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书目名称Intelligent Computing Theories and Application年度引用学科排名




书目名称Intelligent Computing Theories and Application读者反馈




书目名称Intelligent Computing Theories and Application读者反馈学科排名

Intact

An Evolutionary Algorithm Based on Multi-operator Ensemble for Multi-objective Optimization,ctive search in the complex decision space. To address this issue, an evolutionary algorithm based on multi-operator ensemble (EAMOE) is proposed for multi-objective optimization. The core idea of the proposed algorithm is to design a multi-operator ensemble strategy based on subpopulations. To be s

vitrectomy

Water Evaporation Optimization Algorithm Based on Classification and Unbiased Search,elerate WEO’s convergence and improve its accuracy, in this paper, we propose a water evaporation optimization algorithm based on classification and unbiased search (CUS-WEO). In this algorithm, different learning objects are selected for better and poorer individuals in monolayer evaporation phase,

BROW

A Discrete Sine Cosine Algorithm for Community Detection,ic optimization algorithms have been successfully utilized to solve CDPs. As a recently proposed heuristic optimization algorithm, the sine cosine algorithm has been successfully applied in many fields and achieved better performance compared with other algorithms. In this paper, a new discrete sine

aphasia

Automatical Pulmonary Nodule Detection by Feature Contrast Learning,AD) system in detecting pulmonary nodule with both high accuracy and sensitivity. To address this problem, we design a 3D automated pulmonary nodule detection where a auxiliary 3D generative adversarial network is embedded. This well-trained auxiliary component that fully learns volumetrically conte

decipher

ALLEY

Improving Object Detection by Deep Networks with Class-Related Features,bjects in a single image is a kind of context information. In this paper, we propose an object detection algorithm that makes use of the class-related features. Specifically, in order to improve the performance of object detection, we propose an end-to-end network which introduces the attention mech

Throttle

Dynamic Neural Network for Business and Market Analysis, be considered. In these cases, it is necessary to devise nonlinear models that imitate or learn the rules of behavior of the problem and can be developed based on historical data. For this reason, neural networks are useful tools to deal with this type of problem due to their nonlinearly and their

衍生

Uncultured

A Computer Immune Optimization Algorithm Based on Group Evolutionary Strategy,timization algorithms. However, it also has the disadvantages of premature convergence and local optimality. To address these shortcomings, this paper proposes a new algorithm, called ESCIOA, which enhances the mutation operation in CIOA, by introducing Recombination Operator and Mutation Operator o