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memmi gerard (curatore); yang baijian (curatore); kong linghe (curatore); zhang tianwei (curatore); qiu meikang (curatore) - knowledge science, engineering and management

Knowledge Science, Engineering and Management 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part III

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 07/2022
Edizione: 1st ed. 2022





Trama

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. 

The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:

Volume I:
Knowledge Science with Learning and AI (KSLA)

Volume II:
Knowledge Engineering Research and Applications (KERA)

Volume III:
Knowledge Management with Optimization and Security (KMOS)





Sommario

Knowledge Management with Optimization and Security (KMOS).- Study on Chinese Named Entity Recognition Based on  Dynamic Fusion and Adversarial Training.- Spatial Semantic Learning for Travel Time Estimation.- A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures.- PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System.- GAN-Based Fusion Adversarial Training.- MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool.- Fuzzy information measures feature selection using descriptive statistics data.- Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition.- Learning Advisor-Advisee Relationship from Multiplex Network Structure.- CorefDRE: Coref-aware Document-level Relation Extraction.- Single Pollutant Prediction Approach by Fusing MLSTM and CNN.- A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection.- Detection DDoS of attacks based on federated learning with Digital Twin Network.- A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.










Altre Informazioni

ISBN:

9783031109881

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XVI, 753 p. 282 illus., 240 illus. in color.
Pagine Arabe: 753
Pagine Romane: xvi


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