Big Data and Security 5th International Conference, ICBDS 2023, Nanjing, China, December 22–24, 2023, Revised Selected Papers, Part I

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.

 .- 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.