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Ubi-Media Computing, Pervasive Systems, Algorithms and Networks : 13th International Conference, Ubi-Media 2025, and 17th International Symposium, I-SPAN 2025, Bangkok, Thailand, January 19–23, 2025, Proceedings, Part II / edited by Lin Hui, Ching-Hsien Hsu, Somchoke Ruengittinun.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Kuai, Lin.
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 2380
- Language:
- English
- Subjects (All):
- Application software.
- Computer networks.
- Computer engineering.
- Computer vision.
- Artificial intelligence.
- Computer and Information Systems Applications.
- Computer Communication Networks.
- Computer Engineering and Networks.
- Computer Vision.
- Artificial Intelligence.
- Local Subjects:
- Computer and Information Systems Applications.
- Computer Communication Networks.
- Computer Engineering and Networks.
- Computer Vision.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (488 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- 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
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9662-91-5
- OCLC:
- 1528600326
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