Knowledge Science, Engineering and Management

17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part V
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 14888
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-5488-5
• 2024
• Seitenzahl: 344
• Erscheinungstermin: 27. Juli 2024
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 523g
• ISBN-13: 9789819754885
• ISBN-10: 9819754887
• Artikelnr.: 70973368

Inhaltsangabe

.- 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.