Kapak Resmi

Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XV /

This 20-volume set LNCS 15842-15861 constitutes - in conjunction with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869 - the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The total...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Huang, De-Shuang (Editör), Zhang, Chuanlei (Editör), Zhang, Qinhu (Editör), Pan, Yijie (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edisyon:1st ed. 2025.
Seri Bilgileri:Lecture Notes in Computer Science, 15856
Konular:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Online Erişim:https://doi.org/10.1007/978-981-96-9914-8
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
İçindekiler:
  • -- Intelligent Computing in Communication Networks
  • UAV cluster dynamic deployment in edge data acquisition system.
  • Multi-cluster Layer-sharing Container Scheduling in Cloud-Edge Collaboration.
  • FairMS: Fair DNN Model Selection Algorithm for Collaborative Edge Intelligence.
  • Delay-Energy Tradeoff for Intelligent Online Partial Offloading in Mobile Edge Computing.
  • A Consortium Blockchain Framework for Low-Storage Coal Mine Dispatch Speech System.
  • Federated Dynamic Aggregation Learning Based on Parameter Decomposition to Combat Noisy Data.
  • QoE Oriented Efficient MEC-Assisted Rendering Scheme for Virtual Reality.
  • IAE-LoRa: Interference-Aware and Energy-Efficient LoRa Optimization using Reinforcement Learning.
  • SecureNT: Smart Topology Obfuscation for Privacy-Aware Network Monitoring.
  • Data Annotation Crowdsourcing Matching Optimization Method in Blockchain Environment: Based on Deep Reinforcement Learning.
  • Joint Resource Allocation for Downlink NOMA-Assisted CR-SWIPT System.
  • A Cross-Layer and Multi-Center Authentication Fusion Framework for Mobile Industrial Internet of Things.
  • MENTOR: Malicious Network Traffic Detection Through Optimized LLM based Recognition.
  • EDGaE: Efficient Distributed Graph Neural Network Training System at the Edge.
  • Dynamic Service Migration and Resource Allocation for UAV-Assisted Vehicular Edge Computing.
  • Intelligent Routing Decision Making Based on GGKM: Combining GCN and Deep Reinforcement Learning.
  • INT-LLM: Adaptive Path Planner for In-band Network Telemetry via Large Language Models.
  • PIKA: A Rate Control Mechanism for Real-Time Video Streaming Assisted by 5G Link Quality.
  • SatDetector: Critical Nodes Detection for LEO Satellite Networks Based on Evolutionary Algorithm.
  • Tongs: A Multi-Objective Scheduling Framework for Network Flow.
  • Bimodal Data-Driven Optimization of Human Action Recognition: Combining CSI and Video Intelligence Analysis.
  • Automated Cloud-Native Dynamic Network Policy Generation Based on Microservices Topology.
  • Intelligent Computing in Finance Banking
  • Deep Reinforcement Learning-based Portfolio Optimization with Black Litterman Model under Elliptical Distributions.
  • FAEF: Frequency-Adaptive Economics Forecasting That Works.
  • Semantic Information Tells the Truth: A Novel Approach to Numerical Veracity for Large Language Models in Financial Market Analytics.
  • Asset-Centric Factor-Opinion Pair Extraction from Market Analysis Reports.
  • Large Language Model-guided DeepFutures for Accurate Domestic Futures Trading.
  • LightFSA: A Lightweight Financial Sentiment Analysis Model.
  • Hidden Market Patterns: A Spatio-temporal Graph Auto-Encoder for Stock Price Forecasting and Portfolio Optimization Strategy.
  • Deep Multi-View Factor Entropy Pooling: A Novel Framework for Adaptive Portfolio Optimization.
  • Overnight Stock Movement Prediction Based on Dynamic Graph Neural Networks.
  • Fraud Detection Based on Dynamic Graph Neural Networks.
  • Virtual Reality and Human-Computer Interaction
  • Spatial-Aware Anchor Growth for 3D Gaussian Field Reconstruction.
  • EMFIN: A Multimodal Fusion Algorithm and Intelligent Navigation System for Intelligent Chemistry Experiments.
  • AMC-Net: Adaptive Multi-Channel Sampling and Deep Reconstruction for Block-Based Image Compressive Sensing.
  • ULTRA-Net: An Efficient and Interpretable Deep Network for Low-Dose CT Images Denoising.
  • GESTURE-MINE: A Gesture Interaction-based VR enhancement for Mine Safety Inspection Training.
  • Attention-Modulated Transformer for In-Air Handwriting Recognition.
  • ARR-Net: An Adaptive Redundancy Reduction Network for Compressed Sensing.
  • HD-Tex: Leveraging Structural Priors for High-Fidelity Texture Synthesis.
  • AR-VitalSense: Enabling Real-Time Vital Sign Monitoring in Dynamic Environments.
  • JoyLive: Efficient audio-driven portrait animation by 3D implict keypoints.
  • MLAD: A Two-Stage Fully Automated Multi-Perspective Tabular Data Anomaly Detection Framework.

Benzer Materyaller