TY  - BOOK
AU  - Cao,Cungeng
AU  - Chen,Huajun
AU  - Zhao,Liang
AU  - Arshad,Junaid
AU  - Asyhari,Taufiq
AU  - Wang,Yonghao
ED  - SpringerLink (Online service)
TI  - Knowledge Science, Engineering and Management: 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part III 
T2  - Lecture Notes in Artificial Intelligence,
SN  - 9789819754984
AV  - Q334-342 
U1  - 006.3 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Artificial intelligence
KW  - Computer engineering
KW  - Computer networks 
KW  - Computers
KW  - Information technology
KW  - Management
KW  - Social sciences
KW  - Data processing
KW  - Application software
KW  - Artificial Intelligence
KW  - Computer Engineering and Networks
KW  - Computing Milieux
KW  - Computer Application in Administrative Data Processing
KW  - Computer Application in Social and Behavioral Sciences
KW  - Computer and Information Systems Applications
N1  -  -- 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-5498-4
ER  -