000 06122nam a22006975i 4500
001 978-981-97-5489-2
003 DE-He213
005 20251030114951.0
007 cr nn 008mamaa
008 240726s2024 si | s |||| 0|eng d
020 _a9789819754892
_9978-981-97-5489-2
024 7 _a10.1007/978-981-97-5489-2
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aKnowledge Science, Engineering and Management
_h[electronic resource] :
_b17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V /
_cedited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIII, 328 p. 99 illus., 83 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14888
505 0 _a -- 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.
520 _aThe 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.
650 0 _aArtificial intelligence.
_958441
650 0 _aComputer engineering.
650 0 _aComputer networks .
_960157
650 0 _aComputers.
_965793
650 0 _aInformation technology
_xManagement.
_957223
650 0 _aSocial sciences
_xData processing.
_965741
650 0 _aApplication software.
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputing Milieux.
_966530
650 2 4 _aComputer Application in Administrative Data Processing.
_966531
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_965743
650 2 4 _aComputer and Information Systems Applications.
700 1 _aCao, Cungeng.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChen, Huajun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZhao, Liang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aArshad, Junaid.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAsyhari, Taufiq.
_eeditor.
_0(orcid)0000-0002-3023-8285
_1https://orcid.org/0000-0002-3023-8285
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Yonghao.
_eeditor.
_0(orcid)0000-0002-4924-2508
_1https://orcid.org/0000-0002-4924-2508
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_980151
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819754885
776 0 8 _iPrinted edition:
_z9789819754908
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14888
856 4 0 _uhttps://doi.org/10.1007/978-981-97-5489-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
999 _c66839
_d66839