Knowledge Science, Engineering and Management

17th International Conference, KSEM 2024, Birmingham, UK, August 16¿18, 2024, Proceedings, Part III
Herausgegeben:Cao, Cungeng; Chen, Huajun; Zhao, Liang; Arshad, Junaid; Asyhari, Taufiq; Wang, Yonghao

• Broschiertes Buch

Produktbeschreibung

The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16-18, 2024.

The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 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)

Volume IV: Emerging Technology

Volume V: Special Tracks

Produktdetails

• Lecture Notes in Computer Science 14886
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-5497-7
• 2024
• Seitenzahl: 440
• Erscheinungstermin: 27. Juli 2024
• Englisch
• Abmessung: 235mm x 155mm x 24mm
• Gewicht: 663g
• ISBN-13: 9789819754977
• ISBN-10: 9819754976
• Artikelnr.: 70973314

Inhaltsangabe

.- 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.