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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 I [Pehme köide]

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  • Formaat: Paperback / softback, 333 pages, kõrgus x laius: 235x155 mm, 111 Illustrations, color; 41 Illustrations, black and white; XIX, 333 p. 152 illus., 111 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2379
  • Ilmumisaeg: 29-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819662931
  • ISBN-13: 9789819662937
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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 ISuurem pilt
  • Formaat: Paperback / softback, 333 pages, kõrgus x laius: 235x155 mm, 111 Illustrations, color; 41 Illustrations, black and white; XIX, 333 p. 152 illus., 111 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2379
  • Ilmumisaeg: 29-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819662931
  • ISBN-13: 9789819662937
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819662937.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 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

Edge Computing and IoT Application:


The Routing Exploration of Multiple k-hop-limited C-V2V Paths for Small Cell
Data Offloading using the Maximum Flow Concept.- Enhancing ITS with Agile
Optimization for Dynamic Ride-Sharing Mobility.- Serverless Computing at the
Edge: Evaluating Execution Models and Latency Performance.- The Performance
study of Using EnCoCo-RED on Observing Resource with Block-Wise Transfer.- An
Intelligent System for Zipper Defect Detection.- 


Optimization and Deep Learning Application:


Exploring Bio-inspired Optimization for Hyperparameter Tuning in Deep
Learning Image Classification.- Optimizing the Utilization of Cargo
Containers by Hybrid Artificial.- Melodic Skeleton Generation using Simulated
Annealing.- Enhancing Adversarial Attacks with Vector Quantization.-
Optimizing Reasoning Engines using TF-IDF Vectorization Approach for Enhanced
Toxicity Classification.- 


System and Network Application:


On Pancyclicity and Cycle Embeddings in a Torus-Connected Cycles Network.-
Design and Implementation of Cloud-Native Telco Application Service Based on
Cloud-Fog Computing.- Local Diagnosis for Unidirectional Star Graph under
Comparison Model.- A Stochastic Edge-fault-tolerant Routing Algorithm in
Torus Networks.- 


Cybersecurity Technique and Application:


Novel Malware Similarity Analysis: Regional Longest Common Substring
Algorithm with Elastic Suffix Tree.- Big Data-Driven Phishing Detection in
Smart Devices Using Chi-Square and Optimized Gradient Boosting.- An Accurate
and Robust Deep Learning-Based Stacked Generalization Method for Android
Malware Detection.- A Study on Feature Selection Optimization for Cheating
Detection in Cybersecurity Practical Exercises.- 


Machine Learning on Multimedia and Applications:


A lightweight neural network search method suitable for heterogeneous
computing environments.- Word Embedding Bias in Large Language Models.-
Evaluating design strategies for AI virtual teaching assistants and immersive
learning scaffolding in programmed teaching games.- Design and Implementation
of a GenAI-based Music Creation System.- Extract senior high school
transcripts by integrating OCR and Yolo8.- YNote: A Novel Music Notation for
Fine-Tuning LLMs in Music Generation.