LEADER 01271nas 22004453a 450 001 996209001603316 005 20210103031716.7 011 $a1539-0160 035 $a(DE-599)ZDB2096968-5 035 $a(OCoLC)49304294 035 $a(CKB)991042728122278 035 $a(CONSER)--2002214061 035 $a(EXLCZ)99991042728122278 100 $a20020313b20022010 s-- a 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCultic studies review 210 $aBonita Springs, Fla. $cAmerican Family Foundation$dİ2002- 300 $aRefereed/Peer-reviewed 311 $a1539-0152 517 3 $aCulticstudiesreview.org 517 3 $aCSR 531 0 $aCultic stud. rev. 606 $aCults$vPeriodicals 606 $aPsychology and religion$vPeriodicals 606 $aCults$2fast$3(OCoLC)fst00884980 606 $aPsychology and religion$2fast$3(OCoLC)fst01081555 608 $aPeriodicals.$2fast 615 0$aCults 615 0$aPsychology and religion 615 7$aCults. 615 7$aPsychology and religion. 676 $a291.175 906 $aJOURNAL 912 $a996209001603316 996 $aCultic studies review$92015968 997 $aUNISA LEADER 07104nam 22008055 450 001 996546854103316 005 20230810132137.0 010 $a3-031-40292-8 024 7 $a10.1007/978-3-031-40292-0 035 $a(CKB)27965525700041 035 $a(DE-He213)978-3-031-40292-0 035 $a(PPN)27226007X 035 $a(MiAaPQ)EBC31093932 035 $a(Au-PeEL)EBL31093932 035 $a(EXLCZ)9927965525700041 100 $a20230803d2023 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Science, Engineering and Management$b[electronic resource] $e16th International Conference, KSEM 2023, Guangzhou, China, August 16?18, 2023, Proceedings, Part IV /$fedited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (XXIV, 471 p. 124 illus., 112 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14120 311 $a9783031402913 327 $aEmerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis. 330 $aThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16?18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14120 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aComputers 606 $aInformation technology$xManagement 606 $aSocial sciences$xData processing 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputing Milieux 606 $aComputer Application in Administrative Data Processing 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aComputers. 615 0$aInformation technology$xManagement. 615 0$aSocial sciences$xData processing. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputing Milieux. 615 24$aComputer Application in Administrative Data Processing. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer and Information Systems Applications. 676 $a006.3 702 $aJin$b Zhi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJiang$b Yuncheng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBuchmann$b Robert Andrei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBi$b Yaxin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGhiran$b Ana-Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMa$b Wenjun$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546854103316 996 $aKnowledge Science, Engineering and Management$9772454 997 $aUNISA