{"product_id":"knowledge-science-engineering-and-management-9789819530519","title":"Knowledge Science Engineering and Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e .- Noise-Resistant Federated Open Set Recognition.\u003cbr\u003e.- Graph Representation-aware Online Aggregations over Knowledge Graph.\u003cbr\u003e.- LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization.\u003cbr\u003e.- A Trusted Federated Learning Scheme for Distributed GAN Model Training.\u003cbr\u003e.- Multimodal Sentiment Analysis with Modality-Robust and -Biased Representations and Distance-aware Contrastive Learning.\u003cbr\u003e.- DeNoiseFood dataset with ECAMixDNet: an efficient denoising framework for complex textured food images.\u003cbr\u003e.- Leveraging Language Model and Knowledge Tracing for Personalized Question Generation.\u003cbr\u003e.- MFTP: Multi-round Feedback for Dynamic Travel Itinerary Optimization.\u003cbr\u003e.- GraphRAG-KM: An Automated Framework for Transforming Industrial Documents into Ontology and Conceptual Models.\u003cbr\u003e.- MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing.\u003cbr\u003e.- AD^2-pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models.\u003cbr\u003e.- FATDyG: A Dynamic Network Link Prediction Framework for Time, Space, and Frequency Awareness.\u003cbr\u003e.- Resource Optimization for FPGA-based SM9 Digital Signature Algorithm.\u003cbr\u003e.- Enhancing Pruning Efficiency via Maximum Prunable Channel Selection in Tiny Object Detection.\u003cbr\u003e.- A Multimodal Fusion Framework employing Full-stage Attention for Survival Prediction.\u003cbr\u003e.- Differentially Private Graph Data Publishing via Feature-based Community Detection.\u003cbr\u003e.- Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms.\u003cbr\u003e.- Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization.\u003cbr\u003e.- MSCAN: Multi-Scale Context-Aware Network for Multivariate Long-Term Forecasting.\u003cbr\u003e.- PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series.\u003cbr\u003e.- ELS-GDR: Efficient Extraction of Long-Term Sequential Signals for Guiding Diffusion-Based Recommendation.\u003cbr\u003e.- EntiFA: Entity-based Fine-grained Adaptation for Knowledge Enhancement in Large Language Models.\u003cbr\u003e.- StressSentry-FHE: A Transformer-based Privacy-Preserving Framework for Stress Detection Using Quantized Attention.\u003cbr\u003e.- Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting.\u003cbr\u003e.- Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images.\u003cbr\u003e.- Scale Margin Loss for Object Detection.\u003cbr\u003e.- Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration.\u003cbr\u003e.- BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses under Pruned Models.\u003cbr\u003e.- Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek.\u003cbr\u003e.- Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks.\u003cbr\u003e.- SoMORE: Social Context-aware MLLM for Video Character Search.\u003cbr\u003e.- A Multimodal Feature Fusion Method for Analyzing Children's Interests.\u003cbr\u003e.- Seaformer: An Adaptive forecasting Framework for Multi-source Heterogeneous Ocean Observation Data.\u003cbr\u003e.- Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting under Uncertainty.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212855435607,"sku":"9789819530519","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/knowledge-science-engineering-and-management-9789819530519","provider":"Book Curl","version":"1.0","type":"link"}