Buch, Englisch, 528 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 820 g
21st National Joint Conference, HHME 2025, Dalian, China, August 21-25, 2025, Proceedings, Part II
Buch, Englisch, 528 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 820 g
Reihe: Communications in Computer and Information Science
ISBN: 978-981-9239-93-1
Verlag: Springer
This book constitutes the refereed proceedings of the 21st National Joint Conference on Harmonious Human-Machine Environment, HHME 2025, held in Dalian, China, during August 21–25, 2025.
The 55 full papers presented in this book were carefully reviewed and selected from 279 submissions.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Pervasive Computing Conference (PCC) : Context Sensing Technologies
.- Mental Disorder Recognition Technology Based on Smart Wrist-Worn Devices.
.- Swallowing sound segmentation method based on ATST- Frame model and fine-tuning.
.- Hyper-HAR: Federated Meta-Learning with Hypernetworks for Non-IID and Sparse Human Activity Recognition.
.- Contactless Blood Pressure Monitoring Using Transfer Learning.
.- An efficient zero-shot object navigation method in unknown environments based on commonsense reasoning.
.- Utility-Aware Runtime Assessment of Sensor Selection Based on Spatio-Temporal Dynamic Graph Learning.
.- SonarYOLO-MA: An Efficient Model for Small Object Detection in Underwater Sonar Images.
.- KneeSense: Estimating Knee Joint Angles in Daily Activities Using Minimal Wearable IMUs.
.- On-street Parking Slot Detection Method Based on Multi-task Bird's-Eye-View Perception and Free Space Reasoning.
.- Pervasive Computing Technologies
.- Cross-modal Self-supervised Learning with Smartphone Records for Early Parkinson's Disease Detection.
.- Joint Optimization of Multi-DNN Partitioning and Scheduling in IoT Edge Computing.
.- Energy-Aware Deep Inference Methods for Self-Powered IoT Nodes.
.- Multi-Agent Reinforcement Learning for Vehicular Task Offloading in Multi-UAV-Assisted Edge Computing.
.- Task-Oriented Communication for Edge Inference: A Knowledge-Enhanced Information Bottleneck Approach.
.- State Value Based Message Pruning for Efficient Communication in Collaborative Deep Reinforcement Learning.
.- Cross-DFCL: A Distribution-Adaptive Federated Continue Learning Method Across Mobile Edge Environments.
.- Bus Passenger Counting via Row-Column-Channel Pairwise Attention and Coordinate Accumulative Encoding.
.- Generative RF Fingerprint Spoofing Attacks Against LoRa Device Authentication.
.- Mining of Sensing Data
.- Research on Urban Traffic Flow Prediction Based on Neural Ordinary Differential Equations.
.- Temporal Decision Optimization for Gradually Clarified Goals in Scenarios with High-Risk Coefficients.
.- Research on Time Series Imputation for Irregularly Sampled Data.
.- MultiScaleCFEENet: Enhancing Multi-Scale Visual Features for Chinese Character Image Retrieval.
.- Study on the Patterns of Cognition and Communication Behavior of Gen Z in the Digital Space Regarding Intangible Cultural Heritage.
.- Pervasive Computing Systems
.- A Smart Community System for Amyotrophic Lateral Sclerosis Patients Based on Human-Computer Collaboration.
.- Ranim: a High-Performance Extensible Programmatic Animation Engine based on WebGPU and Rust.
.- Reward-Enhanced Entropy-Regulated Consistency Adaptation.
.- GA-ToT: Chain-of-Thought Progressive Optimization Framework for Classification with Large Language Models.
.- Research on Adaptive Traffic Signal Optimization Control Based on an Improved DQN.
.- GTCFormer: An Efficient Traffic Flow Prediction Method Based on Transformer.
.- AFW-MATD3: A Method Based on Adaptive Feature Weighting for Multi-UAV Formation Maintenance and Target Navigation.
.- Decentralized Storage with Data Ownership Verification for Heterogeneous Data Sources.
