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Big Data and Security: 5th International Conference, ICBDS 2023, Nanjing, China, December 2224, 2023, Revised Selected Papers, Part I 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 248 pages, kõrgus x laius: 235x155 mm, 75 Illustrations, color; 22 Illustrations, black and white; XIV, 248 p. 97 illus., 75 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2099
  • Ilmumisaeg: 21-Jul-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819743869
  • ISBN-13: 9789819743865
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  • Formaat: Paperback / softback, 248 pages, kõrgus x laius: 235x155 mm, 75 Illustrations, color; 22 Illustrations, black and white; XIV, 248 p. 97 illus., 75 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2099
  • Ilmumisaeg: 21-Jul-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819743869
  • ISBN-13: 9789819743865
The two-volume set constitutes the refereed proceedings of the 5th International Conference on Big Data and Security, ICBDS 2023, held in Nanjing, China, during December 2224, 2023. 





The 35 full papers and 1 short paper were carefully reviewed and selected from 161 submissions. They are organized in topical sections as follows: 





Part One: Big Data & New Method and Artificial Intelligence & Machine Learning





Part Two: Data Technology & Network Security and IoT Security & Privacy Protection.
 .- Big Data&New Method.



.- Recurrent Age Recognition based on Manifold Learning.



.- Big Data Intelligence Empowered Specialized Disciplines Development
Pattern Recognition in Power Industry Universities.



.- A Survey on Real-time Semantic Segmentation Based on Deep Learning.



.- A Clustering Method for Distribution Network Load Curve Based on Fast
DDTW.



.- Object Detection Model Based on Attention Mechanism.



.- Gas Pressure Prediction and Application with Missing Data Imputation
Techniques for Gas Regulator Data.



.- Advances, Patterns and Future Potential of Big Data Technology Research
for New Energy Sources and Energy Storage Systems.



.- Construction of Enterprise Capital Allocation Efficiency Model Based on
Fuzzy Clustering Algorithm.



.- Artificial Intelligence&Machine Learning.



.- Analysing Potential of ResNet for Transfer Learning with Stochastic
Depth.



.- A Survey of Research Progresses on Instance Segmentation Based on Deep
Learning.



.- Charting the Landscape of Multi-view Stereo: An In-depth Exploration of
Deep Learning Techniques.



.- A Survey of Federated Learning: Review,Attacks, Defenses.



.- ROMA: Reverse Model-based Data Augmentation for Offline Reinforcement
Learning.



.- Application Research of Digital Intelligence Technology in Mining Electric
Power Equipment Fault Cases: Taking Text Mining     Technology as an
Example.



.- Deep Learning-Based Attribute Graph Clustering: An Overview.



.- Construction of demand forecasting model of human resources professional
structure based on deep learning.



.- Financial management and early warning system of non profit organizations
based on artificial neural network.