LEADER 06145nam 22007455 450 001 9911047680503321 005 20251113120358.0 010 $a981-9530-55-5 024 7 $a10.1007/978-981-95-3055-7 035 $a(MiAaPQ)EBC32410041 035 $a(Au-PeEL)EBL32410041 035 $a(CKB)42785152400041 035 $a(DE-He213)978-981-95-3055-7 035 $a(OCoLC)1564374865 035 $a(EXLCZ)9942785152400041 100 $a20251113d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Science, Engineering and Management $e18th International Conference, KSEM 2025, Macao, China, August 4?7, 2025, Proceedings, Part III /$fedited by Tianqing Zhu, Wanlei Zhou, Congcong Zhu 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (661 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15921 311 08$a981-9530-54-7 327 $a -- ACL:Adaptive Chunking of Large Language Models for Efficient Inference on Automotive Edge Devices. -- The Evaluation of Parameter-agnostic Unlearning Mechanisms on Prevailing Large Language Models. -- Node Centrality Approximation in Complex Networks via Inductive Graph Neural Networks. -- Carbon Market Price Prediction Method Based on Multi-feature Fusion and Deep Learning. -- MMtuning: An Advanced Multi-Adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning. -- Multi-Sensor Fusion Framework for HAR: Integrating Time-Frequency Features and Self-Supervised Learning. -- Deep Reinforcement Learning-Based Client Selection and Secure Aggregation for Federated Learning. -- DynamicFedPEFT: Efficient fine-tuning of dynamic federated parameters for large language models. -- Dynamic, Multi-Scale, and Noise-Aware Modeling for Skeleton Action Prediction. -- Adaptive Retrieval Enhancement for Open-Domain Question Answering. -- Privacy-Preserving Exact Closest Vertex Queries on Encrypted Attributed Knowledge Graphs. -- Text Attributed Graph Node Classification Using Sheaf Neural Networks and Large Language Models. -- TIEBN: An Eigenvalue-Driven Blockchain Network for Anomaly Detection. -- Enhanced Knowledge Tracing via Imputing Knowledge States. -- Resisting Catastrophic Recall: Persistent Unlearning via Knowledge Distillation with Feature Suppression. -- Enhancing Legal Judgment Prediction in LLMs via Legal Norms Integration. -- Geo-DETR: Geographical Map Detection Based on Multi-Stage Gradient Feature Fusion. -- FATFI: A Framework to Generate Adversarial Traffic with Feature Interpretability. -- Enhancing Multi-Source Localization via Tailored Feature Representation Framework. -- FedMP: A Multi-Prototype Heterogeneous Federated Learning Framework. -- CGM: Intrusion Detection Based on a Multi-Head Attention Optimization Model. -- FusionMIA: Enhancing Membership Inference Attacks with Spy Clients and Shadow Models in Federated Learning. -- DynaKiteQuery: Top-k Closest-Vertex Queries on Dynamic Attributed Knowledge Graphs. -- Evaluating LLMs for Multi-label Text Classification. -- Generating Feedback for School Students Essay with Large Language Models. -- Dynamic Asymmetric Contrastive Learning with Adaptive Hard Negative Mining for Resume-Job Matching. -- TRIAD: A Tool-Responsive Instruction-Aligned framework for domain-specific problem solving. -- Verifiable fine-grained federated unlearning. -- MCC: Multi-level Feature and Context-aware Attention Mechanism with Consistent Distributions for Recipe Retrieval. -- Heuristic Ant Colony enabled Federataed UAV Circuit Inspection Planning Algorithm Considering Adaptive Weather. -- Context-aware Spatiotemporal Graph Attention Network for Next POI Recommendation. -- From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models. 330 $aThe six-volume proceedings set LNAI 15919, 15920, 15921, 15922, 15923 and 15924 constitutes the refereed proceedings of the 18th International Conference on Knowledge Science, Engineering and Management, KSEM 2025, held in Macao, China during August 4?7, 2025. The 106 papers and 66 short papers are included in these proceedings were carefully reviewed and selected from 354 submissions. They focus on all aspects of the exchange of research in artificial intelligence, data science, knowledge engineering, AI safety, large language models, and related frontier areas. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15921 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 $a006.33 700 $aZhu$b Tianqing$01059731 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047680503321 996 $aKnowledge Science, Engineering and Management$94466412 997 $aUNINA