
Knowledge Science, Engineering and Management
15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II
Springer (Publisher)
Published on 31. July 2022
Book
Paperback/Softback
XV, 701 pages
978-3-031-10985-0 (ISBN)
Description
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)
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)
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
31 s/w Abbildungen, 195 farbige Abbildungen
XV, 701 p. 226 illus., 195 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 39 mm
Weight
1072 gr
ISBN-13
978-3-031-10985-0 (9783031109850)
DOI
10.1007/978-3-031-10986-7
Schweitzer Classification
Other editions
Additional editions

Gerard Memmi | Baijian Yang | Linghe Kong
Knowledge Science, Engineering and Management
15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II
E-Book
07/2022
Springer
€106.99
Available for download
Content
Knowledge Engineering Research and Applications (KERA).
- Multi-View Heterogeneous Network Embedding.- A Multi-level Attention-based LSTM Network for Ultra-short-term Solar Power Forecast using Meteorological Knowledge.- Unsupervised Person Re-ID via Loose-Tight Alternate Clustering.- Sparse Dense Transformer Network for Video Action Recognition.- Deep User Multi-Interest Network for Click-Through Rate Prediction.- Open Relation Extraction via Query-based Span Prediction.- Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations.- Mario Fast Learner: Fast and Efficient solutions for Super Mario Bros.- Few-shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering.- Data-driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel.- Deep-to-bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation.- Topic and Reference Guided KeyphraseGeneration from Social Media.- DISEL: A Language for Specifying DIS-based Ontologies.- MSSA-FL:High-Performance Multi-Stage Semi-Asynchronous Federated Learning with Non-IID Data.- A GAT-based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences.- Incorporating Explanation to Balance the Exploration and Exploitation of Deep Reinforcement Learning.