Big Data and Security
5th International Conference, ICBDS 2023, Nanjing, China, December 22-24, 2023, Revised Selected Papers, Part I
(Sprache: Englisch)
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 22-24, 2023.
The 35 full papers and 1 short paper were...
The 35 full papers and 1 short paper were...
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Klappentext zu „Big Data and Security “
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 22-24, 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.
Inhaltsverzeichnis zu „Big Data and Security “
.- 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.
Bibliographische Angaben
- 2024, 2024, X, 246 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Yuan Tian, Tinghuai Ma, Muhammad Khurram Khan
- Verlag: Springer, Berlin
- ISBN-10: 9819743869
- ISBN-13: 9789819743865
Sprache:
Englisch
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