{"product_id":"knowledge-science-engineering-and-management-9789819530540","title":"Knowledge Science Engineering and Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- ACL:Adaptive Chunking of Large Language Models for Efficient Inference on Automotive Edge Devices.\u003cbr\u003e.- The Evaluation of Parameter-agnostic Unlearning Mechanisms on Prevailing Large Language Models.\u003cbr\u003e.- Node Centrality Approximation in Complex Networks via Inductive Graph Neural Networks.\u003cbr\u003e.- Carbon Market Price Prediction Method Based on Multi-feature Fusion and Deep Learning.\u003cbr\u003e.- MMtuning: An Advanced Multi-Adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning.\u003cbr\u003e.- Multi-Sensor Fusion Framework for HAR: Integrating Time-Frequency Features and Self-Supervised Learning.\u003cbr\u003e.- Deep Reinforcement Learning-Based Client Selection and Secure Aggregation for Federated Learning.\u003cbr\u003e.- DynamicFedPEFT: Efficient fine-tuning of dynamic federated parameters for large language models.\u003cbr\u003e.- Dynamic, Multi-Scale, and Noise-Aware Modeling for Skeleton Action Prediction.\u003cbr\u003e.- Adaptive Retrieval Enhancement for Open-Domain Question Answering.\u003cbr\u003e.- Privacy-Preserving Exact Closest Vertex Queries on Encrypted Attributed Knowledge Graphs.\u003cbr\u003e.- Text Attributed Graph Node Classification Using Sheaf Neural Networks and Large Language Models.\u003cbr\u003e.- TIEBN: An Eigenvalue-Driven Blockchain Network for Anomaly Detection.\u003cbr\u003e.- Enhanced Knowledge Tracing via Imputing Knowledge States.\u003cbr\u003e.- Resisting Catastrophic Recall: Persistent Unlearning via Knowledge Distillation with Feature Suppression.\u003cbr\u003e.- Enhancing Legal Judgment Prediction in LLMs via Legal Norms Integration.\u003cbr\u003e.- Geo-DETR: Geographical Map Detection Based on Multi-Stage Gradient Feature Fusion.\u003cbr\u003e.- FATFI: A Framework to Generate Adversarial Traffic with Feature Interpretability.\u003cbr\u003e.- Enhancing Multi-Source Localization via Tailored Feature Representation Framework.\u003cbr\u003e.- FedMP: A Multi-Prototype Heterogeneous Federated Learning Framework.\u003cbr\u003e.- CGM: Intrusion Detection Based on a Multi-Head Attention Optimization Model.\u003cbr\u003e.- FusionMIA: Enhancing Membership Inference Attacks with Spy Clients and Shadow Models in Federated Learning.\u003cbr\u003e.- DynaKiteQuery: Top-k Closest-Vertex Queries on Dynamic Attributed Knowledge Graphs.\u003cbr\u003e.- Evaluating LLMs for Multi-label Text Classification.\u003cbr\u003e.- Generating Feedback for School Students Essay with Large Language Models.\u003cbr\u003e.- Dynamic Asymmetric Contrastive Learning with Adaptive Hard Negative Mining for Resume-Job Matching.\u003cbr\u003e.- TRIAD: A Tool-Responsive Instruction-Aligned framework for domain-specific problem solving.\u003cbr\u003e.- Verifiable fine-grained federated unlearning.\u003cbr\u003e.- MCC: Multi-level Feature and Context-aware Attention Mechanism with Consistent Distributions for Recipe Retrieval.\u003cbr\u003e.- Heuristic Ant Colony enabled Federataed UAV Circuit Inspection Planning Algorithm Considering Adaptive Weather.\u003cbr\u003e.- Context-aware Spatiotemporal Graph Attention Network for Next POI Recommendation.\u003cbr\u003e.- From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212855468375,"sku":"9789819530540","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/knowledge-science-engineering-and-management-9789819530540","provider":"Book Curl","version":"1.0","type":"link"}