{"product_id":"knowledge-science-engineering-and-management-9789819530007","title":"Knowledge Science Engineering and Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Label Inference Attacks against Federated Unlearning.\u003cbr\u003e.- LVLM-FDA: Protecting Large Vision-language models via Fast Detection of Malicious Attempts.\u003cbr\u003e.- KAD: Based on the Kolmogorov-Arnold formula’s Nonlinear Dynamic Channel Weights module.\u003cbr\u003e.- CoTSentry: Advanced Network Attack Detection with Chain-of-Thought Reasoning.\u003cbr\u003e.- A Large Language Model Agent-Guided Multi-Agent System for Adaptive Traffic Signal Control.\u003cbr\u003e.- FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency.\u003cbr\u003e.- SAML: A Structure-Aware Enhanced Meta Learning Framework for Spatio-Temproal Graph Few-Shot Learning.\u003cbr\u003e.- A Task-Specific Feature Fusion Strategy For Small Object Detection.\u003cbr\u003e.- Decoupled Dynamic Spatio-Temporal Neural Radiance Fields for Enhanced 3D Scene Synthesis.\u003cbr\u003e.- Mamba Model Based on GloVe Word Embedding for Sentiment Analysis.\u003cbr\u003e.- DKCER-Agent: Lightweight and Efficient KNN-Enhanced Dynamic Context Optimization for Stepwise Retrieval Augmented Generation.\u003cbr\u003e.- Robust AI-Synthesized Image Detection via Multi-feature Frequency-aware Learning.\u003cbr\u003e.- Do Domain-Specific LLMs Keep Secrets? An Empirical Study of Privacy Risks and Membership Inference Attacks.\u003cbr\u003e.- Dynamic Weighted Consensus Framework for LLM Multi-Agent Debate.\u003cbr\u003e.- Streaming Hierarchical Clustering for Emerging New Class.\u003cbr\u003e.- Masked Aggregation Learning for Enhancing Distributed Gradient Boosting Decision Trees.\u003cbr\u003e.- Personalized learning resource recommendation framework based on knowledge graph and large language model.\u003cbr\u003e.- The REGEN model, a LLM-based integrated framework of retrieval and QA generation from plain texts on international freight domain.\u003cbr\u003e.- SWV: A Large-scale Sensitive Word Variants Dataset for Semantic Text Matching.\u003cbr\u003e.- Explainable Recommendation Using Global Preference Paths on Knowledge Graph.\u003cbr\u003e.- Hierarchical Data Protection Based on Homomorphic Encryption Algorithm.\u003cbr\u003e.- MCAN-BIFT: An IIoT Intrusion Detection System Integrating Multi-Scale Feature Enhancement and Transformer.\u003cbr\u003e.- Summary of the application of deep learning in fault detection.\u003cbr\u003e.- Community Detection Attack Based on Balanced Budget Allocation.\u003cbr\u003e.- Depth State Space Model for Light Field Depth Estimation via Text-similar Representation.\u003cbr\u003e.- GSC-SAGE: A Generative Subgraph Contrastive Framework for Encrypted Traffic Detection.\u003cbr\u003e.- Gradient Balanced Part-Whole Relational Weakly Supervised Semantic Segmentation.\u003cbr\u003e.- Hierarchical Integration Knowledge Distillation: Enhancing Adversarial Robustness of Student Models via Clean Data Distillation.\u003cbr\u003e.- Tree-based Approach for Time-independent Diffusion Network Inference.\u003cbr\u003e.- Diffusion model-based multi-scale feature and timing consistency enhancement for ECG signal generation.\u003cbr\u003e.- Large Language Models are Not Stable Recommender Systems: A Position Bias Perspective.\u003cbr\u003e.- POAgent: A Multi-Agent Controller Towards Adaptive Parameter Optimization.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212855173463,"sku":"9789819530007","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/knowledge-science-engineering-and-management-9789819530007","provider":"Book Curl","version":"1.0","type":"link"}