Knowledge Science, Engineering and Management
Springer Verlag, Singapore
978-981-97-5488-5 (ISBN)
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
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
.- Special Track.
.- Adversary and Attention Guided Knowledge Graph Reasoning based on Reinforcement Learning.
.- Evaluating GPT's Programming Capability through CodeWars' Katas.
.- An Online Portfolio Selection Algorithm with Dynamic Coreset Construction.
.- Interval-valued Fuzzy Portfolio decision Model with Transaction Cost and Liquidity Constraint.
.- Active Learning for Low-Resource Project-Specific Code Summarization.
.- A Survey of Game-Theoretic Methods for Controlling COVID-19.
.- ComPAT: a Compiler Principles course AssisTant.
.- Tram Air Conditioning Fault Prediction Using Machine learning.
.- Lexicon Graph Adapter based BERT Model For Chinese Named Entity Recognition.
.- Insider Threat Defense Strategies: Survey and Knowledge Integration.
.- GA-MEPS: Multiple Experts Portfolio Selection Based on Genetic Algorithm.
.- Deep Learning and Machine Learning-Based Approaches to Inferring Social Media Network Users' Interests from a Missing Data Issus.
.- Customer Segmentation for Telecommunication using Machine Learning.
.- DP-MFRNN: Difficulty Prediction for Examination Questions Based on Neural Network Framework.
.- Causal Relationship Extraction Combined Boundary Detection and Information Interaction.
.- Profit Maximization in Edge-enabled Multimedia Data Market: A Game-based Pricing Approach.
.- Reinforcement learning for scientific application: A survey.
.- Zunna: A New Browser Extension for Protecting Personal Data.
.- HRTC:A Triple Joint Extraction Model Based on Cyber Threat Intelligence.
.- Personalized Image Aesthetics Assessment based onTheme and Personality.
.- A Spatio-temporal Neural Network for Medical Insurance Fraud Detection.
.- Exploring Language Diversity to Improve Neural Text Generation.
.- Diffusion Review-based Recommendation.
.- IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model.
.- A novel network intrusion detection method for unbalanced data in open scenarios.
.- Explainable Knowledge-Based Learning For Online Medical Question Answering.
.- Energy consumption prediction method for refrigeration systems based on adversarial networks and Transformer networks.
.- P-Vit: A simplified Vision Transformer model based on FFN and Simple Attention.
| Erscheinungsdatum | 28.07.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | 83 Illustrations, color; 16 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Adaptation • artificial intelligentce • Blockchain • Conceptual Modelling • Construction • Dissemination • Embedding • Knowledge Discovery • Knowledge Engineering • knowledge graphs • knowledge management • knowledge metrics • Knowledge Representation • knowledge science • knowledge verification • machine learning • Ontologies • Reasoning • resource optimizatio • Smart Knowledge |
| ISBN-10 | 981-97-5488-7 / 9819754887 |
| ISBN-13 | 978-981-97-5488-5 / 9789819754885 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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