Cantitate/Preț
Produs
Total produse
Vezi coșul
Knowledge Science, Engineering and Management de Cungeng Cao

Knowledge Science, Engineering and Management: Lecture Notes in Computer Science, cartea 14886

Editat de Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
en Limba Engleză Paperback – 27 iul 2024
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
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (5) 46650 lei  43-57 zile
  Springer – 27 iul 2024 46650 lei  43-57 zile
  Springer – 26 iul 2024 46773 lei  43-57 zile
  Springer – 27 iul 2024 46791 lei  43-57 zile
  Springer – 26 iul 2024 46853 lei  43-57 zile
  Springer – 27 iul 2024 95530 lei  43-57 zile

Din seria Lecture Notes in Computer Science

Preț: 46650 lei

Preț vechi: 58313 lei
-20%

Puncte Express: 700
Preț estimativ în valută:
8249€ • 9533$ • 7126£

Carte tipărită la comandă

Livrare economică 04-18 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9789819754977
ISBN-10: 9819754976
Pagini: 440
Ilustrații: X, 440 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.66 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

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.