Big Data and Security

Big Data and Security

5th International Conference, ICBDS 2023, Nanjing, China, December 22-24, 2023, Revised Selected Papers, Part I

Tian, Yuan; Ma, Tinghuai; Khan, Muhammad Khurram

Springer Verlag, Singapore

08/2024

246

Mole

9789819743865

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- 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.
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Security and Privacy;Big Data;Block Chain;Distributed computing methodologies;Security Services;Intrusion/anomaly detection and malware mitigation;Artificial Intelligence;Computing methodologies