Similitude Methods and Three-Dimensional Simulation of the Electrical Activity of the Rabbit Sinoatrial Node and Adjacent Atrial Myocardium

Galanin, V. V.

doi:10.1134/s000635092101019x

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…To obtain an embedding that effectively fuses user attributes and user relationships, so that nodes with similar attributes and structures have similar embedding representations, use a graph-based loss function and gradient descent to learn the parameters in the fusion function. It assumes that neighboring nodes have similar embeddings, and discrete nodes have low-similar embeddings [9], as shown in the following equation:…”

Section: Auma-mrl Algorithmmentioning

confidence: 99%

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Wang¹,

Zhang²,

Zhang³

2022

Security and Communication Networks

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To explore how related users can optimize the network mining algorithm, the author proposes a related user mining algorithm based on the fusion of user attributes and user relationships. This method recommends key technical problems and solutions based on information represented by multi-information fusion and explores research on associated user network data mining algorithms. Research has shown that the associated user network data mining algorithm based on multi-information fusion is 65% higher than previous methods. AUMA-MRL has good performance under different network overlaps. Also, since the node embedding of the AUMA-MRL algorithm is obtained by neighborhood sampling, for new nodes in the network, the algorithm can quickly obtain the new node embedding, as well as the similarity vector between the new node and the rest of the nodes in the network, therefore, the associated users of newly added nodes in the network can be quickly mined, and the robustness of the mining algorithm of associated users in the network is enhanced. Compared with the existing classical algorithms, the recall rate of the proposed algorithm is increased by 17.5% on average, which can effectively mine the associated users in the network.

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Section: Auma-mrl Algorithmmentioning

confidence: 99%

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Wang¹,

Zhang²,

Zhang³

2022

Security and Communication Networks

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“…Firstly, the classification, representation, and storage of design knowledge are studied, and then, the reuse of design knowledge is realized according to the new design constraints [16]. e design knowledge reuse technology for integrated product rapid development is studied, and an integrated product development system scheme based on design knowledge reuse is proposed on the basis of in-depth research on key technologies such as design knowledge representation, management, and reuse [17]. Different knowledge units are obtained by object-oriented technology and then described by corresponding knowledge representation methods.…”

Section: Related Workmentioning

confidence: 99%

Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining

Wei¹

2022

Mathematical Problems in Engineering

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The stage of product modeling design implies a lot of complex tacit knowledge, which is the embodiment of the design concept centered on product modeling design and is also the hot spot and difficulty of modern design theory and method research. Aiming at the evaluation and decision of product modeling design scheme, a decision-making method of approaching ideal solution ranking based on grey relational analysis was proposed, which realized the convergence of tacit knowledge. The empty association rule is an important knowledge content of spatial data mining. A fuzzy genetic algorithm can solve the characteristics of random and nonlinear problems and solve the data mining problems of spatial association rules. The fuzzy genetic algorithm of discrete crossover probability and mutation probability is applied to data mining of spatial association rules in a spatial database, the coding method of the fuzzy genetic algorithm and the construction of fitness function are discussed, and the process of mining spatial association rules is given. The results show that the method of mining s association rules with the fuzzy genetic algorithm is feasible and has higher mining efficiency. This paper discusses the construction method of designing a decision support database based on linear regression and neural network and then proposes a decision method combining TOPSIS and grey relational analysis, which comprehensively considers the position and shape of the scheme data curve.

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The virtual sinoatrial node: What did computational models tell us about cardiac pacemaking?

Ricci

Bartolucci

Severi

2023

Progress in Biophysics and Molecular Biology

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Similitude Methods and Three-Dimensional Simulation of the Electrical Activity of the Rabbit Sinoatrial Node and Adjacent Atrial Myocardium

Cited by 3 publications

References 17 publications

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining

The virtual sinoatrial node: What did computational models tell us about cardiac pacemaking?

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