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Knowledge Science, Engineering and Management 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part II
Title
Knowledge Science, Engineering and Management [electronic resource] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part II / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma.
ISBN
9783031402869
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XXIV, 461 p.) 159 illus., 141 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
August 11, 2023
Series
Lecture Notes in Artificial Intelligence, 14118
Contents
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 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. .
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