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020		▼a9789819754892▼9978-981-97-5489-2
024		▼a10.1007/978-981-97-5489-2▼2doi
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245	00	▼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		▼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		▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v14888
505		▼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		▼aArtificial intelligence.
650		▼aComputer engineering.
650		▼aComputer networks .
650		▼aComputers.
650		▼aInformation technology▼xManagement.
650		▼aSocial sciences▼xData processing.
650		▼aApplication software.
650		▼aArtificial Intelligence.
650		▼aComputer Engineering and Networks.
650		▼aComputing Milieux.
650		▼aComputer Application in Administrative Data Processing.
650		▼aComputer Application in Social and Behavioral Sciences.
650		▼aComputer and Information Systems Applications.
700		▼aCao, Cungeng.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aChen, Huajun.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aZhao, Liang.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aArshad, Junaid.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼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		▼aWang, Yonghao.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
710		▼aSpringerLink (Online service)
773		▼tSpringer Nature eBook
776		▼iPrinted edition:▼z9789819754885
776		▼iPrinted edition:▼z9789819754908
830		▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v14888
856		▼uhttps://doi.org/10.1007/978-981-97-5489-2
912		▼aZDB-2-SCS
912		▼aZDB-2-SXCS
912		▼aZDB-2-LNC
950		▼aComputer Science (SpringerNature-11645)
950		▼aComputer Science (R0) (SpringerNature-43710)

Knowledge Science, Engineering and Management[electronic resource] :17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V /edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang

종류

전자책

서명

저자명

Cao Cungeng. editor Chen Huajun. editor Zhao Liang. editor Arshad Junaid. editor Asyhari Taufiq. editor Wang Yonghao. editor

판 사항

1st ed. 2024.

형태사항

XIII, 328 p 99 illus, 83 illus in color online resource.

주기사항

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.

내용주기

/ 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.

ISBN

9789819754892

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