Titlebook: Computer Applications; 38th CCF Conference Min Zhang,Bin Xu,Zeguang Lu Conference proceedings 2024 The Editor(s) (if applicable) and The A

Conflagration

S. I. Sukhoruchkin,Z. N. Sorokolocalization algorithm. We demonstrate that PRiskLoc consistently outperforms state-of-the-art baselines, especially in more challenging root cause scenarios, with the F1 improved from 0.635049 to 0.724687.

Lumbar-Spine

S. I. Sukhoruchkin,Z. N. Sorokoon methods and anti-interference technology of intelligent agents from key technologies such as deep learning and reinforcement learning to provide support for the development of air combat simulation training systems.

Medicare

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Gratuitous

Stefan Horlacher,Stefan Glomb,Lars Heilernstructed a sample MMKG in the medical field based on an ontology and resource description framework (RDF). We use Neo4j for visualization and design a UI to extract node information. Finally, the shortcomings of the work were summarized, and future research directions were proposed.

notice

Herta Müller: Tabubruch als Schreibprinziped hierarchical perception model H-HAKE based on hierarchical perception model KGE-HAKE calculates selector parameters by improving the hierarchical perception model to add category dimension to the TransE coordinate system, divide more image features and entities with the same attribute into the sa

STEER

https://doi.org/10.1057/9780230375284 The efficacy of our proposed methods is verified by their superior performance to traditional methods on all three subtasks. The results on the MSParS dataset demonstrate the effectiveness of our framework for generating clarification questions and entity predictions.

Ingenuity

https://doi.org/10.1057/9780230375284al interactions between spans using a Convolutional Neural Network (CNN), taking advantage of the spatial correlation between adjacent spans. Finally, we adopt the idea of contrastive learning based on R-drop to enhance the model‘s robustness. Experimental results demonstrate that our model achieves

Digest

Current Treatment of Atopic Dermatitis this end, this paper proposes a BMRC with knowledge enhancement, which integrates the knowledge of specialized fields into the model, strengthens the connection between specific fields and open fields, increases instance regularization, and pays attention to the contribution of individual instances

邪惡的你

https://doi.org/10.1007/978-3-662-29714-8erimental results show that the UIE model has the best information extraction effect, and its F1 value is 89.69%. Data mining was carried out on the extracted diagnosis and treatment knowledge, and it was found that the basic principles of drug use were qi and blood circulation and liver and spleen