• Produktbild: Knowledge Science, Engineering and Management
  • Produktbild: Knowledge Science, Engineering and Management
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Knowledge Science, Engineering and Management 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.07.2022

Abbildungen

XXVIII, 753 p. 256 illus., 168 illus. in color.

Herausgeber

Gerard Memmi + weitere

Verlag

Springer

Seitenzahl

753

Maße (L/B/H)

23,5/15,5/4,2 cm

Gewicht

1165 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-10982-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.07.2022

Abbildungen

XXVIII, 753 p. 256 illus., 168 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

753

Maße (L/B/H)

23,5/15,5/4,2 cm

Gewicht

1165 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-10982-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Knowledge Science, Engineering and Management
  • Produktbild: Knowledge Science, Engineering and Management
  • Knowledge Science with Learning and AI (KSLA). - A decoupled YOLOv5 with deformable convolution and multi-scale attention.- OTE: An Optimized Chinese Short Text Matching Algorithm based on External Knowledge.- KIR: A Knowledge-enhanced Interpretable Recommendation Method.- ICKEM: a tool for estimating one's understanding of conceptual knowledge.- Cross-perspective Graph Contrastive Learning.- A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction.- Pre-train Unified Knowledge Graph Embedding with Ontology.- Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection.- A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks.- Construction Research and Applications of Industry Chain Knowledge Graphs.- Query and Neighbor-aware Reasoning based Multi-hop Question Answering over Knowledge Graph.- Question Answering over Knowledge Graphs with Query Path Generation.- Improving ParkingOccupancy Prediction in Poor Data Conditions through Customization and Learning to Learn.- Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network.- Answering Complex Questions on Knowledge Graphs.- Multi-Attention User Information Based Graph Convolutional Networks for Explainable Recommendation.- Edge-shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule.