{"product_id":"advanced-intelligent-computing-technology-and-applications-ebook-8","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cp\u003e\u003cstrong\u003e.- Intelligent Computing in Communication Networks\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- UAV cluster dynamic deployment in edge data acquisition system.\u003cbr\u003e.- Multi-cluster Layer-sharing Container Scheduling in Cloud-Edge Collaboration.\u003cbr\u003e.- FairMS: Fair DNN Model Selection Algorithm for Collaborative Edge Intelligence.\u003cbr\u003e.- Delay-Energy Tradeoff for Intelligent Online Partial Offloading in Mobile Edge Computing.\u003cbr\u003e.- A Consortium Blockchain Framework for Low-Storage Coal Mine Dispatch Speech System.\u003cbr\u003e.- Federated Dynamic Aggregation Learning Based on Parameter Decomposition to Combat Noisy Data.\u003cbr\u003e.- QoE Oriented Efficient MEC-Assisted Rendering Scheme for Virtual Reality.\u003cbr\u003e.- IAE-LoRa: Interference-Aware and Energy-Efficient LoRa Optimization using Reinforcement Learning.\u003cbr\u003e.- SecureNT: Smart Topology Obfuscation for Privacy-Aware Network Monitoring.\u003cbr\u003e.- Data Annotation Crowdsourcing Matching Optimization Method in Blockchain Environment: Based on Deep Reinforcement Learning.\u003cbr\u003e.- Joint Resource Allocation for Downlink NOMA-Assisted CR-SWIPT System.\u003cbr\u003e.- A Cross-Layer and Multi-Center Authentication Fusion Framework for Mobile Industrial Internet of Things.\u003cbr\u003e.- MENTOR: Malicious Network Traffic Detection Through Optimized LLM based Recognition.\u003cbr\u003e.- EDGaE: Efficient Distributed Graph Neural Network Training System at the Edge.\u003cbr\u003e.- Dynamic Service Migration and Resource Allocation for UAV-Assisted Vehicular Edge Computing.\u003cbr\u003e.- Intelligent Routing Decision Making Based on GGKM: Combining GCN and Deep Reinforcement Learning.\u003cbr\u003e.- INT-LLM: Adaptive Path Planner for In-band Network Telemetry via Large Language Models.\u003cbr\u003e.- PIKA: A Rate Control Mechanism for Real-Time Video Streaming Assisted by 5G Link Quality.\u003cbr\u003e.- SatDetector: Critical Nodes Detection for LEO Satellite Networks Based on Evolutionary Algorithm.\u003cbr\u003e.- Tongs: A Multi-Objective Scheduling Framework for Network Flow.\u003cbr\u003e.- Bimodal Data-Driven Optimization of Human Action Recognition: Combining CSI and Video Intelligence Analysis.\u003cbr\u003e.- Automated Cloud-Native Dynamic Network Policy Generation Based on Microservices Topology.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Intelligent Computing in Finance Banking\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- Deep Reinforcement Learning-based Portfolio Optimization with Black Litterman Model under Elliptical Distributions.\u003cbr\u003e.- FAEF: Frequency-Adaptive Economics Forecasting That Works.\u003cbr\u003e.- Semantic Information Tells the Truth: A Novel Approach to Numerical Veracity for Large Language Models in Financial Market Analytics.\u003cbr\u003e.- Asset-Centric Factor-Opinion Pair Extraction from Market Analysis Reports.\u003cbr\u003e.- Large Language Model-guided DeepFutures for Accurate Domestic Futures Trading.\u003cbr\u003e.- LightFSA: A Lightweight Financial Sentiment Analysis Model.\u003cbr\u003e.- Hidden Market Patterns: A Spatio-temporal Graph Auto-Encoder for Stock Price Forecasting and Portfolio Optimization Strategy.\u003cbr\u003e.- Deep Multi-View Factor Entropy Pooling: A Novel Framework for Adaptive Portfolio Optimization.\u003cbr\u003e.- Overnight Stock Movement Prediction Based on Dynamic Graph Neural Networks.\u003cbr\u003e.- Fraud Detection Based on Dynamic Graph Neural Networks.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Virtual Reality and Human-Computer Interaction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- Spatial-Aware Anchor Growth for 3D Gaussian Field Reconstruction.\u003cbr\u003e.- EMFIN: A Multimodal Fusion Algorithm and Intelligent Navigation System for Intelligent Chemistry Experiments.\u003cbr\u003e.- AMC-Net: Adaptive Multi-Channel Sampling and Deep Reconstruction for Block-Based Image Compressive Sensing.\u003cbr\u003e.- ULTRA-Net: An Efficient and Interpretable Deep Network for Low-Dose CT Images Denoising.\u003cbr\u003e.- GESTURE-MINE: A Gesture Interaction-based VR enhancement for Mine Safety Inspection Training.\u003cbr\u003e.- Attention-Modulated Transformer for In-Air Handwriting Recognition.\u003cbr\u003e.- ARR-Net: An Adaptive Redundancy Reduction Network for Compressed Sensing.\u003cbr\u003e.- HD-Tex: Leveraging Structural Priors for High-Fidelity Texture Synthesis.\u003cbr\u003e.- AR-VitalSense: Enabling Real-Time Vital Sign Monitoring in Dynamic Environments.\u003cbr\u003e.- JoyLive: Efficient audio-driven portrait animation by 3D implict keypoints.\u003cbr\u003e.- MLAD: A Two-Stage Fully Automated Multi-Perspective Tabular Data Anomaly Detection Framework.\u003c\/p\u003e","brand":"De-Shuang Huang","offers":[{"title":"Default Title","offer_id":53653504622919,"sku":"9789819699148","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/advanced-intelligent-computing-technology-and-appl-ebook-cover-springer-singapore-2025.webp?v=1775567943","url":"https:\/\/www.cinebuch.de\/products\/advanced-intelligent-computing-technology-and-applications-ebook-8","provider":"CineBuch","version":"1.0","type":"link"}