Knowledge Science, Engineering and Management
16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part II
(Sprache: Englisch)
This volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16-18, 2023.
The 114 full papers and 30 short...
The 114 full papers and 30 short...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
81.39 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Knowledge Science, Engineering and Management “
Klappentext zu „Knowledge Science, Engineering and Management “
This volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16-18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management.
Inhaltsverzeichnis zu „Knowledge Science, Engineering and Management “
Knowledge Engineering Research and Applications.- Knowing before Seeing: Incorporating Post-Retrieval Information into Pre-Retrieval Query Intention Classification.- LSRN: Live-Streaming Identification Based on Reasoning Network with Core Traffic Set.- Implicit Offensive Speech Detection Based on Multi-feature Fusion.- SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios.- Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy.- SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-identification.- A comparative study of chatbot response generation: traditional approaches versus large language models.- Investigating the Impact of Product Contours on User Perception of Product Attributes.- Conf-UNet: A model for speculation on unknown Oracle Bone Characters.- An Efficient One-Shot Network and Robust Data Associations in Multi-Pedestrian Tracking.- Sampling Spatial-Temporal Attention Network for Traffic Forecasting.- ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction.- Sparse-view CT Reconstruction via Implicit Neural Intensity Functions.- Tennis action recognition based on multi-branch mixed attention.- Cascade Sampling via Dual Uncertainty for Active Entity Alignment.- Template Shift and Background Suppression for Visual Object Tracking.- Reversible Data Hiding in Encrypted Images Based on A Multi-Granularity Adaptive Classification Mechanism.- Enhanced Entity Interaction Modeling for Multi-modal Entity Alignment.- Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-Attention and Convolution Integrated.- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization.- HBay: Predicting Human Mobility via Hyperspherical Bayesian
... mehr
Learning.- Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction.- DBA: An Efficient Approach to Boost Transfer-based Adversarial Attack Performance through Information Deletion.- A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction.- Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.- WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction.- GMiRec: A Multi-image Visual Recommendation Model based on a Gated Neural Network.- Semi-supervised entity alignment via noisy student-based self training.- Modeling Chinese Ancient Book Catalog.- JOINT EXTRACTION OF NESTED ENTITIES AND RELATIONS BASED ON MULTI-TASK LEARNING.- A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization.- A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining.- TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge.- A Cross-Document Coreference Resolution Approach to Low-Resource Languages.- Network Flow Based IoT Anomaly Detection Using Graph Neural Network.- Disentangled Multi-factor Graph Neural Network for Non-coding RNA-drug Resistance Association Prediction.
... weniger
Bibliographische Angaben
- 2023, 1st ed. 2023, XXIV, 461 Seiten, 141 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
- Verlag: Springer, Berlin
- ISBN-10: 3031402855
- ISBN-13: 9783031402852
Sprache:
Englisch
Kommentar zu "Knowledge Science, Engineering and Management"
Schreiben Sie einen Kommentar zu "Knowledge Science, Engineering and Management".
Kommentar verfassen