Theoretical Computer Science (eBook, PDF)

42nd National Conference, NCTCS 2024, Qingdao, China, July 19-21, 2024, Revised Selected Papers
Redaktion: Yin, Yitong; Cai, Zhiping; Zhang, Jialin

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 42nd National Conference on Theoretical Computer Science, NCTCS 2024, held in Qingdao, China, during July 19-21, 2024.

The 13 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: Algorithm Design, Approximation Algorithms, Logics, and Artificial Intelligence Theory and Algorithm, Algorithm Application.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 181
• Erscheinungstermin: 6. Februar 2025
• Englisch
• ISBN-13: 9789819614905
• Artikelnr.: 73300136

Inhaltsangabe

.- Algorithm Design.

.- EFX Graph Division with (Weakly) Lexicographic Preferences.

.- Online bottleneck matching on a ring.

.- learn to design greedy algorithm for NP-complete problems using neural networks.

.- Approximation Algorithm.

.- Approximation Algorithms on Linear Equalities and Inequalities mod.

.- Online clustering on the line with th-th power cost variable sized clustering.

.- 1-line minimum -Steiner tree problem.

.- Logic.

.- Generalized Possibilistic CTL* Model Check with Fuzzy Temporal Logic Operators.

.- Medical procedures based on bayesian network and possibilistic model checking.

.- Artificial Intelligence Theory and Algorithm.

.- A Triple-Branch Frequency-Aware Network for Image Manipulation Detection.

.- Advances in Neural Radiance Fields for Large-Scale 3D Scene Reconstruction: A Comprehensive Review.

.- Chinese Medical Spoken Language Understanding Based on Prototypical Modification Network and Contrastive Learning.

.- Algorithm Application.

.- Hierarchical Feature Selection Method based on Sequential Backward Selection Algorithm for Fasting Blood Glucose Prediction.

.- Personalized Recommendation Algorithm Based on Knowledge Graphs with High-order Information.