They are organized in topical sections as follows: Part One: Big Data & New Method and Artificial Intelligence & Machine LearningPart 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.

GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com