Titlebook: Intelligent Computing Theories and Application; 18th International C De-Shuang Huang,Kang-Hyun Jo,Abir Hussain Conference proceedings 2022

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書(shū)目名稱(chēng)Intelligent Computing Theories and Application影響因子(影響力)




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rectocele

magnanimity

978-3-031-13828-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Explicate

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Triglyceride

A Comparison Study of Predicting lncRNA-Protein Interactions via Representative Network Embedding Mee-art network embedding methods are evaluated on five benchmark datasets containing three ones in human and two in plants. Experimental results demonstrate that recent network embedding methods, e.g., metapath2vec, achieve better prediction performances. The data and code in this study are available

capillaries

GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph de attributes, a graph attention network was used to construct feature vectors in subgraphs to extract deep embedded features. Finally, a neural network was applied to make predictions about potential associations. The experimental results showed that the GATSDCD model outperforms existing methods i

defibrillator

思考才皺眉

Real-Time Optimal Scheduling of Large-Scale Electric Vehicles Based on Non-cooperative Gameging strategy to minimize the charging cost during the game. The charging and discharging strategy of electric vehicle population reaches a stable Nash equilibrium, and the optimization goal can be got. The algorithm proposed in this paper can also reduce the total imported electricity and comprehen

STELL

TBC-Unet: U-net with Three-Branch Convolution for Gliomas MRI Segmentationel category imbalance. We construct a new loss function to address the problem of category imbalance. Extensive experiments on BraTS datasets demonstrate that the proposed method achieves very competitive results with the state-of-the-art approaches.