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Knowledge Science, Engineering and Management 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part III

Aus der Reihe Lecture Notes in Computer Science
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69,99 € UVP 81,39 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.07.2024

Abbildungen

XIV, 424 p. 108 illus., 93 illus. in color.

Herausgeber

Cungeng Cao + weitere

Verlag

Springer Singapore

Seitenzahl

424

Maße (L/B/H)

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

Gewicht

663 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9754-97-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.07.2024

Abbildungen

XIV, 424 p. 108 illus., 93 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

424

Maße (L/B/H)

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

Gewicht

663 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9754-97-7

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 Management with Optimization and Security (KMOS)
    .


    .- Knowledge Enhanced Zero-Shot Visual Relationship Detection.


    .- WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments.


    .- Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in A JointCloud Environment.


    .- VulCausal: Robust Vulnerability Detection Using Neural Network Models from a Causal Perspective.


    .- LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education.


    .- DA-NAS: Learning Transferable Architecture for Unsupervised Domain Adaptation.


    .- Optimize rule mining based on constraint learning in knowledge graph.


    .- GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting.


    .- An improved YOLOv7 based prohibited item detection model in X-ray images.


    .- Invisible Backdoor Attacks on Key Regions Based on Target Neurons in Self-Supervised Learning.


    .- Meta learning based Rumor Detection by Awareness of Social Bot.


    .- Financial FAQ Question-Answering System Based on Question Semantic Similarity.


    .- An illegal website family discovery method based on association graph clustering.


    .- Different Attack and Defense Types for AI Cybersecurity.


    .-An Improved Ultra-Scalable Spectral Clustering Assessment with Isolation Kernel.


    .- A Belief Evolution Model with Non-Axiomatic Logic.


    .- Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks against Lane Detection Models.


    .- Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.


    .- KEEN: Knowledge Graph-enabled Governance System for Biological Assets.


    .- Cop: Continously Pairing of Heterogeneous Wearable Devices based on Heartbeat.


    .- DFDS: Data-Free Dual Substitutes Hard-Label Black-Box Adversarial Attack.


    .- Logits Poisoning Attack in Federated Distillation.


    .- DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information.


    .- Prompt Based CVAE Data Augmentation for Few-shot Intention Detection.


    .- Reentrancy Vulnerability Detection Based On Improved Attention Mechanism.


    .- Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning.


    .- AI in Healthcare Data Privacy-preserving: Enhanced Trade-off between Security and Utility.


    .- Traj-MergeGAN: A Trajectory Privacy Preservation Model Based on Generative Adversarial Network.


    .- Adversarial examples for Preventing Diffusion Models from Malicious Image Edition.


    .- ReVFed: Representation-based Privacy-preserving Vertical Federated Learning with Heterogeneous Models.


    .- Logit Adjustment with Normalization and Augmentation in Few-shot Named Entity Recognition.


    .- New Indicators and Optimizations for Zero-Shot NAS Based on Feature Maps.