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Knowledge science, engineering and m...

KSEM (Conference) (2021 :)

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Knowledge science, engineering and management = 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.. Part III /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Knowledge science, engineering and management/ edited by Gerard Memmi ... [et al.].
其他題名:	15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.
其他題名:	KSEM 2022
其他作者:	Memmi, Gerard.
團體作者:	KSEM (Conference)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xvi, 753 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Knowledge acquisition (Expert systems) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-10989-8
ISBN:	9783031109898

Knowledge science, engineering and management = 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.. Part III /
Knowledge science, engineering and management15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.Part III /[electronic resource] :KSEM 2022edited by Gerard Memmi ... [et al.]. - Cham :Springer International Publishing :2022. - xvi, 753 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,133700302-9743 ;. - Lecture notes in computer science ;13370..

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.

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)

ISBN: 9783031109898

Standard No.: 10.1007/978-3-031-10989-8doiSubjects--Topical Terms:

576358
Knowledge acquisition (Expert systems)
--Congresses.

LC Class. No.: QA76.76.E95 / K74 2021

Dewey Class. No.: 006.331

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