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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 1923, 2025, Proceedings, Part II [Pehme köide]

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  • Formaat: Paperback / softback, 347 pages, kõrgus x laius: 235x155 mm, 110 Illustrations, color; 22 Illustrations, black and white; XIX, 347 p. 132 illus., 110 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2380
  • Ilmumisaeg: 29-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819662907
  • ISBN-13: 9789819662906
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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 1923, 2025, Proceedings, Part IISuurem pilt
  • Formaat: Paperback / softback, 347 pages, kõrgus x laius: 235x155 mm, 110 Illustrations, color; 22 Illustrations, black and white; XIX, 347 p. 132 illus., 110 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2380
  • Ilmumisaeg: 29-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819662907
  • ISBN-13: 9789819662906
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819662906.html
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 1923, 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
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 CO 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.