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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1381577814
Titel Knowledge Science, Engineering and Management : 18th International Conference, KSEM 2025, Macao, China, August 4–7, 2025, Proceedings, Part III / edited by Tianqing Zhu, Wanlei Zhou, Congcong Zhu
Person(en) Zhu, Tianqing (Herausgeber)
Zhou, Wanlei (Herausgeber)
Zhu, Congcong (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Singapore : Springer Nature Singapore, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XII, 432 p. 116 illus., 109 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-981-95-3054-0
Printed edition:: ISBN: 978-981-95-3056-4
Inhalt -- 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
Persistent Identifier URN: urn:nbn:de:101:1-2511140306110.581649613336
DOI: 10.1007/978-981-95-3055-7
URL https://doi.org/10.1007/978-981-95-3055-7
ISBN/Einband/Preis 978-981-95-3055-7
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Artificial Intelligence ; 15921
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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