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Full Description
This 2-volume set constitutes the refereed proceedings of the 17th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2025 and 13th International Conference on Ubi-Media Computing, Ubi-Media 2025 held in Bangkok, Thailand, in January 19-23, 2025.
The 36 full papers and 16 short papers presented in this book were carefully reviewed and selected from 95 submissions. They are categorized into the following topical sections:
Part 1: Edge Computing and IoT Application, Optimization and Deep Learning Application, System and Network Application, Cybersecurity Technique and Application, Machine Learning on Multimedia and Applications
Part 2: Prediction Methods and Application, Data Processing and Detection Methods, Edge Computing and IoT Application, Multimedia Networks, System and Applications, Machine Learning on Intelligent Application Systems
Contents
Prediction Methods and Application:
A Graph-based System for PM2.5 Prediction.- A Lightweight Peak Value Prediction Model for Time Series Data.- Stock Price Prediction Using Univariate and Multivariate Historical Data with Post-Interpretation via Large Language Models.- Hybrid Imputation Techniques for Long-term Missing Data in Time Series: A Case Study on PM2.5.-
Data Processing and Detection Methods:
Cost-Sensitive SMS Spam Detection Using Enhanced Three-Step Data Preprocessing and Support Vector Machine Classification.- Optimal YOLO-based Model for Fabric Anomaly Detection.- Deep-Learning-based Early Stage Gastric Cancer Detection in Narrow-Band-Imaging Gastroscopy Images Using Pyramid Spatial Pooling U-net.- Development of a Smartphone-Integrated Microalgae Photobioreactor for CO₂ Capture and Oxygen Generation in Indoor Air Purification Systems.- A Real-Time Vision-Based Pitcher Release Point Detection.- Intelligent Safety-Redundant IoT-Edge System for Indoor Gas Leakage Detection.-
Edge Computing and IoT Application:
Optimizing End Device Data Rate Assignment in LoRaWAN Networks with Collision Probability Considerations.- Forklift Collision Avoidance System Based on AI and Edge Computing.- Ubiquitous Artificial Pancreas: Blockchain-Secured AI-Driven Digital Twin for IoT-Enabled Insulin Pumps in Type 1 Diabetes Management.- E-DDPG: An Enhanced DDPG-Based Approach for UAV Task Offloading Optimization.- LiDAR Pedestrian Detection and Trajectory Tracking Based on Morphological Extended-Jump-Distance Clustering Segmentation.-
Multimedia Networks, System and Applications:
Generative-AI powered TA BOT for Enhanced Personalized Support in Software Engineering Education.- Using Deep Learning Models to Solve Single Machine Scheduling Questions.- Enhancing WiFi CSI Activity Recognition Using a Diffusion Approach with the TCN-T Model.- VAE-based Compression of Token Embeddings for Domain-Specific Adaptation of Pre-trained Language Models.- Enhancing Contrastive Learning in Sequence Classification via Data Augmentation.- Collection and Integration of Accommodation Data for the Development of a Jeju-Specific Personalized Travel Recommendation Service.- Zero Knowledge Proof for Multiple Sequence Alignment.-
Machine Learning on Intelligent Application Systems:
Quantitative Study of Key Technologies and Involvement Enhancement for Metaverse Piano Concerts.- Advanced Golf Swing Analysis Using MediaPipe and Machine Learning.- AI-Driven Classification of Chest Diseases Using X-Ray Images.- OpenAI Based Text-Framework for Research Paper Classification using Graph Convolutional Network.- WRSU-Net: Enhanced Underwater Image Restoration Using W-Net and ReSU-Block for Multi-Scale Feature Fusion.- A Hybrid Framework for the Development of Government Data Catalog: A Case Study of the Government Data Catalog of Thailand.
