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020		▼a9789819754953▼9978-981-97-5495-3
024		▼a10.1007/978-981-97-5495-3▼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 II /▼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		▼aXIV, 464 p. 124 illus., 109 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 ;▼v14885
505		▼a -- Knowledge Engineering Research and Applications (KERA). -- Research on Node Cluster Analysis in Brain Connection Data. -- A New Emotion Classification Method Based on JAN-VMD. -- Neuro-Genetic System: A Hybrid System of CNN-BiLSTM Optimized by Genetic Algorithm for Road Accident Severity Prediction. -- MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation. -- Bio-Inspired Feature Selection via An Improved Binary Golden Jackal Optimization Algorithm. -- Dynamic Reliability-optimised and Energy-efficient Scheduling Algorithms in Heterogeneous Multi-core Systems. -- A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data. -- A novel online sequential learning algorithm for ELM based on optimal control. -- DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. -- Variational Loss of Random Sampling for Searching Cluster Number. -- DVDNER: Dual-view Learning Named Entity Recognition via Diffusion. -- Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. -- SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filtering. -- Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. -- Feature Matching Based Heterogeneous Transfer Learn-ing for Student Performance Prediction. -- Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis. -- Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. -- A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls. -- AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text. -- Research on Key Node Cluster Identification Algorithm based on Louvain and Cycle Ratio. -- Uncertain ▼ center Clustering, Revisited: Point Assignment. -- DPSPC: A Density Peak-based Statistical Parallel Clustering Algorithm for Big Data. -- Insert Commonsense Knowledge through Semantics for Dialogue Generation. -- Entity Set Expansion based on Category Prompts in MOOCs. -- ViT Hybrid Channel Fit Pruning Algorithm for Co-Optimization of Hardware and Software for Edge Device. -- Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation. -- Improving Image Captioning with Image Concepts of Words. -- M HGN: Multi information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension. -- A Student Performance Prediction Model Based on Feature Factor Transfer. -- A Binary Multi-objective Grey Wolf Optimization for Feature Selection. -- CS Net: A Coarse-to-fine-grained Summarization Network for Community-based Question Answering Summarization. -- AutoIE: An Automated Framework for Information Extraction from Scientific Literature. -- Adaptive Density Peak Clustering with Optimized Border-peeling. -- Efficient Affinity Propagation Clustering Based on Szemer´edi’s Regularity Lemma.
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:▼z9789819754946
776		▼iPrinted edition:▼z9789819754960
830		▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v14885
856		▼uhttps://doi.org/10.1007/978-981-97-5495-3
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 II /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

XIV, 464 p 124 illus, 109 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

/ Knowledge Engineering Research and Applications (KERA). / Research on Node Cluster Analysis in Brain Connection Data. / A New Emotion Classification Method Based on JAN-VMD. / Neuro-Genetic System: A Hybrid System of CNN-BiLSTM Optimized by Genetic Algorithm for Road Accident Severity Prediction. / MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation. / Bio-Inspired Feature Selection via An Improved Binary Golden Jackal Optimization Algorithm. / Dynamic Reliability-optimised and Energy-efficient Scheduling Algorithms in Heterogeneous Multi-core Systems. / A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data. / A novel online sequential learning algorithm for ELM based on optimal control. / DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. / Variational Loss of Random Sampling for Searching Cluster Number. / DVDNER: Dual-view Learning Named Entity Recognition via Diffusion. / Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. / SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filtering. / Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. / Feature Matching Based Heterogeneous Transfer Learn-ing for Student Performance Prediction. / Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis. / Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. / A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls. / AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text. / Research on Key Node Cluster Identification Algorithm based on Louvain and Cycle Ratio. / Uncertain

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9789819754953

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