Knowledge Science, Engineering and Management: 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part III: Lecture Notes in Computer Science, cartea 14886
Editat de Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wangen Limba Engleză Paperback – 4 sep 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
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Specificații
ISBN-13: 9789819754977
ISBN-10: 9819754976
Pagini: 440
Ilustrații: X, 440 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.61 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Singapore, Singapore
ISBN-10: 9819754976
Pagini: 440
Ilustrații: X, 440 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.61 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Singapore, Singapore
Cuprins
.- 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.
.- 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.